Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
3340
Single Precision Score
3405
Half Precision Score
6158
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jacofaco |
| Upload Date | October 15 2024 08:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2358
438.5 IPS |
|
|
Image Classification (HP)
|
100% |
2528
470.1 IPS |
|
|
Image Classification (Q)
|
100% |
4348
808.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3902
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5321
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
5514
6.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
12385
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
2294
181.9 IPS |
|
|
Object Detection (HP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (Q)
|
87% |
4068
326.3 IPS |
|
|
Face Detection (SP)
|
100% |
3516
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
3473
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
11394
135.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6140
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6250
48.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
11622
91.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15494
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15700
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34594
44.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2826
104.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2874
106.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7032
260.5 IPS |
|
|
Text Classification (SP)
|
100% |
1451
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1418
1.89 KIPS |
|
|
Text Classification (Q)
|
91% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2084
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2332
40.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2404
41.4 IPS |
