Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
3734
Single Precision Score
1592
Half Precision Score
5304
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | arcashton |
| Upload Date | February 05 2026 04:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D |
| 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 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3045
566.3 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.5 IPS |
|
|
Image Classification (Q)
|
96% |
4501
840.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1952
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
5519
89.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5328
6.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4556
5.32 IPS |
|
|
Pose Estimation (Q)
|
86% |
10964
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
100% |
741
58.8 IPS |
|
|
Object Detection (Q)
|
58% |
3317
362.4 IPS |
|
|
Face Detection (SP)
|
100% |
8158
96.9 IPS |
|
|
Face Detection (HP)
|
100% |
1764
21.0 IPS |
|
|
Face Detection (Q)
|
96% |
8001
95.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6802
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2190
16.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10780
86.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12957
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10774
13.9 IPS |
|
|
Style Transfer (Q)
|
87% |
15457
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2217
81.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2014
74.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3816
141.4 IPS |
|
|
Text Classification (SP)
|
100% |
1595
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1314
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2530
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2922
56.5 IPS |
