Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
35311
Single Precision Score
42537
Half Precision Score
28125
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 09:17 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (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 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14554
2.71 KIPS |
|
|
Image Classification (HP)
|
100% |
15605
2.90 KIPS |
|
|
Image Classification (Q)
|
99% |
12687
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24301
393.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22169
359.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22299
362.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
251853
293.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
458483
535.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
226650
265.5 IPS |
|
|
Object Detection (SP)
|
100% |
17779
1.41 KIPS |
|
|
Object Detection (HP)
|
99% |
18664
1.48 KIPS |
|
|
Object Detection (Q)
|
87% |
14906
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
47889
569.0 IPS |
|
|
Face Detection (HP)
|
100% |
54452
647.0 IPS |
|
|
Face Detection (Q)
|
97% |
42180
502.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
78962
608.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
102013
785.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
65029
521.1 IPS |
|
|
Style Transfer (SP)
|
100% |
410416
527.6 IPS |
|
|
Style Transfer (HP)
|
100% |
660933
849.6 IPS |
|
|
Style Transfer (Q)
|
98% |
359015
462.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45640
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64922
2.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37340
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4340
5.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4422
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2849
3.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
6192
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6216
107.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3094
58.0 IPS |
