Micro-Star International Co., Ltd. MS-7E01
Geekbench ML Score
5697
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 28 2024 03:04 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E01 |
| Motherboard | Micro-Star International Co., Ltd. Z790MPOWER (MS-7E01) |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3049
570.5 IPS |
|
|
Image Classification (F16)
|
100% |
3040
569.0 IPS |
|
|
Image Classification (I8)
|
99% |
4914
919.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2583
43.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2617
43.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3501
58.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
12189
14.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
12153
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
38891
47.1 IPS |
|
|
Object Detection (F32)
|
100% |
2831
211.3 IPS |
|
|
Object Detection (F16)
|
100% |
2917
217.8 IPS |
|
|
Object Detection (I8)
|
62% |
2453
183.1 IPS |
|
|
Face Detection (F32)
|
100% |
6676
79.4 IPS |
|
|
Face Detection (F16)
|
100% |
6657
79.2 IPS |
|
|
Face Detection (I8)
|
89% |
6345
75.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12452
96.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
12799
99.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
21590
167.4 IPS |
|
|
Style Transfer (F32)
|
100% |
29312
38.6 IPS |
|
|
Style Transfer (F16)
|
100% |
29542
38.9 IPS |
|
|
Style Transfer (I8)
|
98% |
37387
49.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5473
195.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5323
190.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6970
248.9 IPS |
|
|
Text Classification (F32)
|
100% |
1915
2.75 KIPS |
|
|
Text Classification (F16)
|
100% |
1908
2.74 KIPS |
|
|
Text Classification (I8)
|
98% |
549
789.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2781
51.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2751
50.6 IPS |
|
|
Machine Translation (I8)
|
67% |
3794
69.8 IPS |
