Micro-Star International Co., Ltd. MS-7C35
Geekbench AI Score
5369
Single Precision Score
5359
Half Precision Score
7271
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | arcashton |
| Upload Date | February 05 2026 04:14 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X3D 8-Core Processor |
| 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% |
3227
600.1 IPS |
|
|
Image Classification (HP)
|
100% |
3250
604.3 IPS |
|
|
Image Classification (Q)
|
100% |
4537
843.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3992
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4035
65.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5914
96.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6432
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
6422
7.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
13212
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
3247
257.6 IPS |
|
|
Object Detection (HP)
|
100% |
3167
251.2 IPS |
|
|
Object Detection (Q)
|
87% |
4907
393.6 IPS |
|
|
Face Detection (SP)
|
100% |
9780
116.2 IPS |
|
|
Face Detection (HP)
|
100% |
9677
115.0 IPS |
|
|
Face Detection (Q)
|
97% |
14627
174.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8229
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8175
63.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
13901
109.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19583
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19614
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37493
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3979
146.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4015
148.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7260
268.9 IPS |
|
|
Text Classification (SP)
|
100% |
2588
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
2631
3.51 KIPS |
|
|
Text Classification (Q)
|
91% |
954
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4562
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4472
77.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4498
77.5 IPS |
