Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
20547
Single Precision Score
21639
Half Precision Score
15814
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | purity |
| Upload Date | December 28 2024 09:30 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING EDGE WIFI (MS-7C91) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9228
1.72 KIPS |
|
|
Image Classification (HP)
|
100% |
7306
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
7810
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13929
225.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10654
172.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
11400
185.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
118172
137.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
182465
212.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
99638
116.7 IPS |
|
|
Object Detection (SP)
|
100% |
9111
722.7 IPS |
|
|
Object Detection (HP)
|
100% |
7072
560.9 IPS |
|
|
Object Detection (Q)
|
87% |
7984
641.2 IPS |
|
|
Face Detection (SP)
|
100% |
28082
333.7 IPS |
|
|
Face Detection (HP)
|
100% |
31207
370.8 IPS |
|
|
Face Detection (Q)
|
97% |
22221
265.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
49970
385.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
56844
438.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
37927
304.6 IPS |
|
|
Style Transfer (SP)
|
100% |
214367
275.6 IPS |
|
|
Style Transfer (HP)
|
100% |
266077
342.0 IPS |
|
|
Style Transfer (Q)
|
98% |
172379
222.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34659
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40787
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24268
898.6 IPS |
|
|
Text Classification (SP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2491
3.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1544
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4483
77.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4675
80.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2538
47.6 IPS |
