Micro-Star International Co., Ltd. MS-7D91
Geekbench ML Score
4242
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 10:22 AM |
| 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% |
1964
367.5 IPS |
|
|
Image Classification (F16)
|
100% |
2498
467.4 IPS |
|
|
Image Classification (I8)
|
99% |
4484
839.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2153
36.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2009
33.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2872
48.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
7731
9.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
7585
9.19 IPS |
|
|
Pose Estimation (I8)
|
100% |
23005
27.9 IPS |
|
|
Object Detection (F32)
|
100% |
2129
159.0 IPS |
|
|
Object Detection (F16)
|
100% |
2003
149.5 IPS |
|
|
Object Detection (I8)
|
62% |
2028
151.4 IPS |
|
|
Face Detection (F32)
|
100% |
4624
55.0 IPS |
|
|
Face Detection (F16)
|
100% |
4544
54.0 IPS |
|
|
Face Detection (I8)
|
89% |
4094
48.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
9051
70.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8502
65.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
15664
121.5 IPS |
|
|
Style Transfer (F32)
|
100% |
19923
26.2 IPS |
|
|
Style Transfer (F16)
|
100% |
19828
26.1 IPS |
|
|
Style Transfer (I8)
|
98% |
27542
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4008
143.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4004
143.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5697
203.5 IPS |
|
|
Text Classification (F32)
|
100% |
1743
2.51 KIPS |
|
|
Text Classification (F16)
|
100% |
1750
2.52 KIPS |
|
|
Text Classification (I8)
|
98% |
480
689.3 IPS |
|
|
Machine Translation (F32)
|
100% |
2278
41.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1932
35.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3188
58.7 IPS |
