Micro-Star International Co., Ltd. MS-7D69
Geekbench ML Score
5227
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 09 2024 10:41 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D69 |
| Motherboard | Micro-Star International Co., Ltd. MEG X670E ACE (MS-7D69) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 96.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1859
347.9 IPS |
|
|
Image Classification (F16)
|
100% |
1860
348.0 IPS |
|
|
Image Classification (I8)
|
99% |
4518
845.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
2426
40.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2439
40.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
3509
58.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
15290
18.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
15321
18.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
43577
52.8 IPS |
|
|
Object Detection (F32)
|
100% |
2189
163.4 IPS |
|
|
Object Detection (F16)
|
100% |
2178
162.6 IPS |
|
|
Object Detection (I8)
|
62% |
2175
162.4 IPS |
|
|
Face Detection (F32)
|
100% |
4293
51.0 IPS |
|
|
Face Detection (F16)
|
100% |
4300
51.1 IPS |
|
|
Face Detection (I8)
|
89% |
6695
79.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
10957
85.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
11139
86.4 IPS |
|
|
Depth Estimation (I8)
|
96% |
23467
182.0 IPS |
|
|
Style Transfer (F32)
|
100% |
31045
40.8 IPS |
|
|
Style Transfer (F16)
|
100% |
30790
40.5 IPS |
|
|
Style Transfer (I8)
|
98% |
40779
53.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3922
140.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3911
139.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4802
171.5 IPS |
|
|
Text Classification (F32)
|
100% |
1527
2.19 KIPS |
|
|
Text Classification (F16)
|
100% |
1472
2.12 KIPS |
|
|
Text Classification (I8)
|
98% |
1086
1.56 KIPS |
|
|
Machine Translation (F32)
|
100% |
3192
58.7 IPS |
|
|
Machine Translation (F16)
|
100% |
3160
58.1 IPS |
|
|
Machine Translation (I8)
|
67% |
4116
75.8 IPS |
