Micro-Star International Co., Ltd. MS-7D91
Geekbench ML Score
2318
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 03:28 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D91 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI (MS-7D91) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 48.0 KB x 12 |
| L2 Cache | 2.00 MB x 3 |
| L3 Cache | 30.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1121
209.8 IPS |
|
|
Image Classification (F16)
|
100% |
1165
218.1 IPS |
|
|
Image Classification (I8)
|
99% |
2465
461.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1242
20.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1226
20.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1771
29.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
2838
3.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
2789
3.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
10148
12.3 IPS |
|
|
Object Detection (F32)
|
100% |
1169
87.2 IPS |
|
|
Object Detection (F16)
|
100% |
1169
87.3 IPS |
|
|
Object Detection (I8)
|
62% |
1281
95.6 IPS |
|
|
Face Detection (F32)
|
100% |
2885
34.3 IPS |
|
|
Face Detection (F16)
|
100% |
2872
34.1 IPS |
|
|
Face Detection (I8)
|
89% |
3671
43.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3626
28.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3649
28.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
7960
61.7 IPS |
|
|
Style Transfer (F32)
|
100% |
7405
9.74 IPS |
|
|
Style Transfer (F16)
|
100% |
7615
10.0 IPS |
|
|
Style Transfer (I8)
|
98% |
16791
22.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1662
59.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1685
60.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3508
125.3 IPS |
|
|
Text Classification (F32)
|
100% |
1030
1.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1068
1.53 KIPS |
|
|
Text Classification (I8)
|
98% |
446
641.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1482
27.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1476
27.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2318
42.7 IPS |
