Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
17657
Single Precision Score
19559
Half Precision Score
15435
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 02:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR MAX WIFI (MS-7C94) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9192
1.71 KIPS |
|
|
Image Classification (HP)
|
100% |
8950
1.66 KIPS |
|
|
Image Classification (Q)
|
99% |
7648
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8802
142.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8532
138.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9275
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
122084
142.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
189746
221.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
105614
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
9302
737.9 IPS |
|
|
Object Detection (HP)
|
100% |
9609
762.2 IPS |
|
|
Object Detection (Q)
|
87% |
8042
645.9 IPS |
|
|
Face Detection (SP)
|
100% |
19316
229.5 IPS |
|
|
Face Detection (HP)
|
100% |
20603
244.8 IPS |
|
|
Face Detection (Q)
|
97% |
20913
249.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
51132
393.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56058
431.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
39603
318.0 IPS |
|
|
Style Transfer (SP)
|
100% |
236856
304.5 IPS |
|
|
Style Transfer (HP)
|
100% |
319181
410.3 IPS |
|
|
Style Transfer (Q)
|
98% |
193113
249.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32453
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38236
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23826
882.3 IPS |
|
|
Text Classification (SP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2446
3.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1476
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2066
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1707
29.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2266
42.5 IPS |
