Micro-Star International Co., Ltd. MS-7D91
Geekbench ML Score
5112
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | BlackMagic |
| Upload Date | March 05 2025 03:44 AM |
| 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) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| 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 | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2706
506.4 IPS |
|
|
Image Classification (F16)
|
100% |
2711
507.3 IPS |
|
|
Image Classification (I8)
|
99% |
4501
842.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
2190
36.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2186
36.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3428
57.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
11128
13.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
11208
13.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
37325
45.2 IPS |
|
|
Object Detection (F32)
|
100% |
2542
189.8 IPS |
|
|
Object Detection (F16)
|
100% |
2616
195.3 IPS |
|
|
Object Detection (I8)
|
62% |
2191
163.6 IPS |
|
|
Face Detection (F32)
|
100% |
5507
65.5 IPS |
|
|
Face Detection (F16)
|
100% |
5550
66.0 IPS |
|
|
Face Detection (I8)
|
89% |
5503
65.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
11285
87.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11369
88.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
19096
148.1 IPS |
|
|
Style Transfer (F32)
|
100% |
26373
34.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26901
35.4 IPS |
|
|
Style Transfer (I8)
|
98% |
31009
40.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4747
169.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4778
170.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
6558
234.2 IPS |
|
|
Text Classification (F32)
|
100% |
1832
2.63 KIPS |
|
|
Text Classification (F16)
|
100% |
1770
2.54 KIPS |
|
|
Text Classification (I8)
|
98% |
531
763.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2510
46.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2402
44.2 IPS |
|
|
Machine Translation (I8)
|
67% |
3528
64.9 IPS |
