Micro-Star International Co., Ltd. MS-7D91
Geekbench ML Score
2200
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:17 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% |
1091
204.2 IPS |
|
|
Image Classification (F16)
|
100% |
1217
227.7 IPS |
|
|
Image Classification (I8)
|
99% |
2153
402.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1191
19.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1249
20.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1519
25.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2451
2.97 IPS |
|
|
Pose Estimation (F16)
|
100% |
2342
2.84 IPS |
|
|
Pose Estimation (I8)
|
100% |
8826
10.7 IPS |
|
|
Object Detection (F32)
|
100% |
1085
81.0 IPS |
|
|
Object Detection (F16)
|
100% |
1137
84.9 IPS |
|
|
Object Detection (I8)
|
62% |
1088
81.3 IPS |
|
|
Face Detection (F32)
|
100% |
2820
33.5 IPS |
|
|
Face Detection (F16)
|
100% |
2818
33.5 IPS |
|
|
Face Detection (I8)
|
89% |
3680
43.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3513
27.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
3539
27.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
7579
58.8 IPS |
|
|
Style Transfer (F32)
|
100% |
7409
9.75 IPS |
|
|
Style Transfer (F16)
|
100% |
7390
9.72 IPS |
|
|
Style Transfer (I8)
|
98% |
16091
21.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1594
56.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1571
56.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3448
123.1 IPS |
|
|
Text Classification (F32)
|
100% |
1031
1.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1038
1.49 KIPS |
|
|
Text Classification (I8)
|
98% |
440
632.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1468
27.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1433
26.4 IPS |
|
|
Machine Translation (I8)
|
67% |
2081
38.3 IPS |
