Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
3619
Single Precision Score
3625
Half Precision Score
6551
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pearlhero033 |
| Upload Date | May 24 2025 01:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600GT with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. A520M-A PRO (MS-7C96) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600GT |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2316
430.6 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.6 IPS |
|
|
Image Classification (Q)
|
100% |
4270
794.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2448
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4740
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4691
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4676
5.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
11166
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.6 IPS |
|
|
Object Detection (HP)
|
100% |
2141
169.8 IPS |
|
|
Object Detection (Q)
|
87% |
4403
353.2 IPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
4032
47.9 IPS |
|
|
Face Detection (Q)
|
97% |
11928
142.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5846
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5801
44.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
11628
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13711
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13738
17.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31514
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2713
100.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2737
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6544
242.4 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (Q)
|
91% |
1395
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3593
61.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3670
63.2 IPS |
