Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
1946
Single Precision Score
1042
Half Precision Score
2288
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jacofaco |
| Upload Date | October 15 2024 08:13 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| 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% |
1224
227.5 IPS |
|
|
Image Classification (HP)
|
100% |
395
73.4 IPS |
|
|
Image Classification (Q)
|
96% |
2253
420.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
1639
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3554
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3255
3.80 IPS |
|
|
Pose Estimation (Q)
|
87% |
9035
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
100% |
458
36.3 IPS |
|
|
Object Detection (Q)
|
86% |
1297
104.3 IPS |
|
|
Face Detection (SP)
|
100% |
1421
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
896
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
2536
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3903
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1618
12.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
4086
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8996
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8112
10.4 IPS |
|
|
Style Transfer (Q)
|
87% |
10544
13.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1491
55.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1355
50.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2020
74.9 IPS |
|
|
Text Classification (SP)
|
100% |
1448
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
558
744.3 IPS |
|
|
Text Classification (Q)
|
97% |
347
465.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1152
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.00 IPS |
|
|
Machine Translation (Q)
|
60% |
1188
26.5 IPS |
