Micro-Star International Co., Ltd. MS-7D91
Geekbench ML Score
2081
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:25 PM |
| Views | 2 |
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% |
1086
203.2 IPS |
|
|
Image Classification (F16)
|
100% |
794
148.6 IPS |
|
|
Image Classification (I8)
|
99% |
1505
281.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1132
18.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1149
19.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1610
26.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2599
3.15 IPS |
|
|
Pose Estimation (F16)
|
100% |
2465
2.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
7471
9.05 IPS |
|
|
Object Detection (F32)
|
100% |
1028
76.7 IPS |
|
|
Object Detection (F16)
|
100% |
1108
82.7 IPS |
|
|
Object Detection (I8)
|
62% |
1194
89.1 IPS |
|
|
Face Detection (F32)
|
100% |
2710
32.2 IPS |
|
|
Face Detection (F16)
|
100% |
2634
31.3 IPS |
|
|
Face Detection (I8)
|
89% |
3398
40.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3101
24.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
3972
30.8 IPS |
|
|
Depth Estimation (I8)
|
96% |
7863
61.0 IPS |
|
|
Style Transfer (F32)
|
100% |
7138
9.39 IPS |
|
|
Style Transfer (F16)
|
100% |
7151
9.41 IPS |
|
|
Style Transfer (I8)
|
98% |
15587
20.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1558
55.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1544
55.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3235
115.5 IPS |
|
|
Text Classification (F32)
|
100% |
991
1.42 KIPS |
|
|
Text Classification (F16)
|
100% |
1003
1.44 KIPS |
|
|
Text Classification (I8)
|
98% |
355
510.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1296
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1401
25.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2163
39.8 IPS |
