Gigabyte Technology Co., Ltd. B660 DS3H DDR4
Geekbench ML Score
8823
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 01:26 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B660 DS3H DDR4 |
| Motherboard | Gigabyte Technology Co., Ltd. B660 DS3H DDR4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A2000 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4468
836.1 IPS |
|
|
Image Classification (F16)
|
100% |
4521
845.9 IPS |
|
|
Image Classification (I8)
|
100% |
3492
653.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
6293
105.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
6269
104.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
5045
84.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
42915
52.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
43358
52.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
40348
48.9 IPS |
|
|
Object Detection (F32)
|
100% |
4287
320.1 IPS |
|
|
Object Detection (F16)
|
100% |
4354
325.0 IPS |
|
|
Object Detection (I8)
|
61% |
2873
214.5 IPS |
|
|
Face Detection (F32)
|
100% |
11891
141.4 IPS |
|
|
Face Detection (F16)
|
100% |
11924
141.8 IPS |
|
|
Face Detection (I8)
|
89% |
9018
107.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
22881
177.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
23145
179.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
18564
144.0 IPS |
|
|
Style Transfer (F32)
|
100% |
94952
124.9 IPS |
|
|
Style Transfer (F16)
|
100% |
76440
100.6 IPS |
|
|
Style Transfer (I8)
|
98% |
63639
83.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
18080
645.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
13078
467.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
8794
314.0 IPS |
|
|
Text Classification (F32)
|
100% |
1553
2.23 KIPS |
|
|
Text Classification (F16)
|
100% |
1755
2.52 KIPS |
|
|
Text Classification (I8)
|
98% |
1038
1.49 KIPS |
|
|
Machine Translation (F32)
|
100% |
2965
54.6 IPS |
|
|
Machine Translation (F16)
|
100% |
2970
54.7 IPS |
|
|
Machine Translation (I8)
|
70% |
1376
25.3 IPS |
