ASUS System Product Name
Geekbench ML Score
19992
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 13 2024 08:33 AM |
| Views | 6 |
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 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
9908
1.85 KIPS |
|
|
Image Classification (F16)
|
100% |
9897
1.85 KIPS |
|
|
Image Classification (I8)
|
100% |
8675
1.62 KIPS |
|
|
Image Segmentation (F32)
|
100% |
11367
189.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
11225
187.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
10694
178.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
160364
194.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
159213
192.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
147287
178.4 IPS |
|
|
Object Detection (F32)
|
100% |
6109
456.1 IPS |
|
|
Object Detection (F16)
|
100% |
6141
458.5 IPS |
|
|
Object Detection (I8)
|
56% |
5853
437.0 IPS |
|
|
Face Detection (F32)
|
100% |
25875
307.7 IPS |
|
|
Face Detection (F16)
|
100% |
25267
300.4 IPS |
|
|
Face Detection (I8)
|
89% |
23444
278.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
64120
497.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
59437
460.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
49055
380.4 IPS |
|
|
Style Transfer (F32)
|
100% |
277057
364.4 IPS |
|
|
Style Transfer (F16)
|
100% |
273712
360.0 IPS |
|
|
Style Transfer (I8)
|
98% |
243443
320.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
41157
1.47 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
39517
1.41 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
31111
1.11 KIPS |
|
|
Text Classification (F32)
|
100% |
3075
4.42 KIPS |
|
|
Text Classification (F16)
|
100% |
3093
4.45 KIPS |
|
|
Text Classification (I8)
|
98% |
1927
2.77 KIPS |
|
|
Machine Translation (F32)
|
100% |
3221
59.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3235
59.5 IPS |
|
|
Machine Translation (I8)
|
70% |
2168
39.9 IPS |
