Micro-Star International Co., Ltd. MS-7E02
Geekbench ML Score
18194
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 19 2024 03:54 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E02 |
| Motherboard | Micro-Star International Co., Ltd. PRO B760M-P (MS-7E02) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8194
1.53 KIPS |
|
|
Image Classification (F16)
|
100% |
8858
1.66 KIPS |
|
|
Image Classification (I8)
|
100% |
7472
1.40 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13114
219.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
13263
221.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
12289
205.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
133539
161.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
133272
161.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
118429
143.4 IPS |
|
|
Object Detection (F32)
|
100% |
5794
432.6 IPS |
|
|
Object Detection (F16)
|
100% |
5532
413.0 IPS |
|
|
Object Detection (I8)
|
63% |
5338
398.5 IPS |
|
|
Face Detection (F32)
|
100% |
24274
288.6 IPS |
|
|
Face Detection (F16)
|
100% |
25814
306.9 IPS |
|
|
Face Detection (I8)
|
89% |
22102
262.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
49131
381.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
48178
373.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
36721
284.8 IPS |
|
|
Style Transfer (F32)
|
100% |
216321
284.6 IPS |
|
|
Style Transfer (F16)
|
100% |
219881
289.2 IPS |
|
|
Style Transfer (I8)
|
98% |
188033
247.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
36261
1.30 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
35983
1.29 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
25747
919.5 IPS |
|
|
Text Classification (F32)
|
100% |
2631
3.78 KIPS |
|
|
Text Classification (F16)
|
100% |
2685
3.86 KIPS |
|
|
Text Classification (I8)
|
98% |
1753
2.52 KIPS |
|
|
Machine Translation (F32)
|
100% |
3918
72.1 IPS |
|
|
Machine Translation (F16)
|
100% |
3895
71.7 IPS |
|
|
Machine Translation (I8)
|
70% |
2199
40.5 IPS |
