Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
4514
Single Precision Score
1887
Half Precision Score
4964
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 12 2025 08:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.88 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4234
787.4 IPS |
|
|
Image Classification (HP)
|
100% |
703
130.7 IPS |
|
|
Image Classification (Q)
|
96% |
5758
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2475
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
2508
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6467
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
5461
6.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
13501
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
3256
258.2 IPS |
|
|
Object Detection (HP)
|
100% |
878
69.6 IPS |
|
|
Object Detection (Q)
|
58% |
3318
362.5 IPS |
|
|
Face Detection (SP)
|
100% |
7144
84.9 IPS |
|
|
Face Detection (HP)
|
100% |
1955
23.2 IPS |
|
|
Face Detection (Q)
|
96% |
9454
112.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8038
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2789
21.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13294
106.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16750
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13301
17.1 IPS |
|
|
Style Transfer (Q)
|
87% |
19622
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3043
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2869
105.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3648
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
1955
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
489
655.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2786
48.0 IPS |
|
|
Machine Translation (HP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (Q)
|
68% |
3196
61.7 IPS |
