Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
3881
Single Precision Score
3871
Half Precision Score
6157
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Alan156 |
| Upload Date | January 27 2025 12:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. PRO B550M-VC WIFI (MS-7C95) |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2476
460.4 IPS |
|
|
Image Classification (HP)
|
100% |
2434
452.6 IPS |
|
|
Image Classification (Q)
|
100% |
3924
729.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2763
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2713
44.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4253
69.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4915
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4871
5.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
10393
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
2337
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (Q)
|
87% |
4102
329.0 IPS |
|
|
Face Detection (SP)
|
100% |
4933
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
4886
58.1 IPS |
|
|
Face Detection (Q)
|
97% |
11301
134.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6363
49.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6421
49.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
10871
85.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14201
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14250
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29094
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2827
104.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2896
106.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6047
224.0 IPS |
|
|
Text Classification (SP)
|
100% |
2211
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2214
2.95 KIPS |
|
|
Text Classification (Q)
|
91% |
1423
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3511
60.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3580
61.7 IPS |
