Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
35095
Single Precision Score
56586
Half Precision Score
27087
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luispepe |
| Upload Date | December 30 2025 06:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| 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% |
13047
2.43 KIPS |
|
|
Image Classification (HP)
|
100% |
18605
3.46 KIPS |
|
|
Image Classification (Q)
|
100% |
11687
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26194
424.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
35804
580.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22791
370.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
243004
283.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
732621
854.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
208374
244.1 IPS |
|
|
Object Detection (SP)
|
100% |
18124
1.44 KIPS |
|
|
Object Detection (HP)
|
100% |
26727
2.12 KIPS |
|
|
Object Detection (Q)
|
86% |
15924
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
54428
646.7 IPS |
|
|
Face Detection (HP)
|
100% |
78981
938.5 IPS |
|
|
Face Detection (Q)
|
97% |
45137
538.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
91249
703.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
163562
1.26 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67945
542.6 IPS |
|
|
Style Transfer (SP)
|
100% |
351022
451.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1074862
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
304938
393.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52212
1.93 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75706
2.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40195
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2172
2.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
6431
110.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6339
109.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2947
55.3 IPS |
