Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
24711
Single Precision Score
38055
Half Precision Score
14995
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luispepe |
| Upload Date | December 16 2025 02:54 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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) |
| Power Plan | Mximo rendimiento |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9602
1.79 KIPS |
|
|
Image Classification (HP)
|
99% |
13902
2.59 KIPS |
|
|
Image Classification (Q)
|
100% |
6535
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17639
285.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
26058
422.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12688
206.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
142699
166.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
395500
461.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
112267
131.5 IPS |
|
|
Object Detection (SP)
|
100% |
12452
987.7 IPS |
|
|
Object Detection (HP)
|
100% |
18102
1.44 KIPS |
|
|
Object Detection (Q)
|
85% |
8419
677.2 IPS |
|
|
Face Detection (SP)
|
100% |
33521
398.3 IPS |
|
|
Face Detection (HP)
|
100% |
47956
569.8 IPS |
|
|
Face Detection (Q)
|
97% |
22276
265.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
65172
502.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
109545
844.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
37356
299.3 IPS |
|
|
Style Transfer (SP)
|
100% |
264091
339.5 IPS |
|
|
Style Transfer (HP)
|
100% |
614833
790.4 IPS |
|
|
Style Transfer (Q)
|
98% |
189418
244.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37440
1.38 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
47273
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20299
751.6 IPS |
|
|
Text Classification (SP)
|
100% |
2680
3.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (Q)
|
97% |
1399
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4875
84.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4876
84.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1639
30.7 IPS |
