ASUS System Product Name
Geekbench ML Score
18021
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 13 2024 08:15 AM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760M-K D4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400 |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 20.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8848
1.66 KIPS |
|
|
Image Classification (F16)
|
100% |
9254
1.73 KIPS |
|
|
Image Classification (I8)
|
100% |
8024
1.50 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11088
185.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
11471
191.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
10520
175.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
133392
161.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
124740
151.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
119066
144.2 IPS |
|
|
Object Detection (F32)
|
100% |
3532
263.7 IPS |
|
|
Object Detection (F16)
|
100% |
6154
459.5 IPS |
|
|
Object Detection (I8)
|
63% |
5694
425.1 IPS |
|
|
Face Detection (F32)
|
100% |
24196
287.7 IPS |
|
|
Face Detection (F16)
|
100% |
24379
289.9 IPS |
|
|
Face Detection (I8)
|
89% |
19803
235.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
55128
427.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
50849
394.3 IPS |
|
|
Depth Estimation (I8)
|
94% |
41205
319.5 IPS |
|
|
Style Transfer (F32)
|
100% |
226251
297.6 IPS |
|
|
Style Transfer (F16)
|
100% |
230329
303.0 IPS |
|
|
Style Transfer (I8)
|
98% |
201924
265.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
38841
1.39 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
39516
1.41 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
27880
995.7 IPS |
|
|
Text Classification (F32)
|
100% |
2950
4.24 KIPS |
|
|
Text Classification (F16)
|
100% |
2907
4.18 KIPS |
|
|
Text Classification (I8)
|
98% |
1828
2.63 KIPS |
|
|
Machine Translation (F32)
|
100% |
3337
61.4 IPS |
|
|
Machine Translation (F16)
|
100% |
3399
62.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2026
37.3 IPS |
