Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
3382
Single Precision Score
1347
Half Precision Score
5081
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 12:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C35 |
| Motherboard | Micro-Star International Co., Ltd. MEG X570 UNIFY (MS-7C35) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2498
464.5 IPS |
|
|
Image Classification (HP)
|
100% |
479
89.0 IPS |
|
|
Image Classification (Q)
|
96% |
4764
889.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
667
10.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2598
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5882
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
4685
5.47 IPS |
|
|
Pose Estimation (Q)
|
86% |
12752
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2388
189.4 IPS |
|
|
Object Detection (HP)
|
100% |
562
44.6 IPS |
|
|
Object Detection (Q)
|
58% |
3565
389.5 IPS |
|
|
Face Detection (SP)
|
100% |
6016
71.5 IPS |
|
|
Face Detection (HP)
|
100% |
1374
16.3 IPS |
|
|
Face Detection (Q)
|
96% |
8481
101.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7275
56.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1897
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
11368
90.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14412
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11755
15.1 IPS |
|
|
Style Transfer (Q)
|
87% |
19832
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2150
79.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1872
69.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2793
103.5 IPS |
|
|
Text Classification (SP)
|
100% |
1152
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
608
810.9 IPS |
|
|
Text Classification (Q)
|
97% |
1387
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2024
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2755
53.2 IPS |
