Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
36295
Single Precision Score
56050
Half Precision Score
27587
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luispepe |
| Upload Date | January 14 2026 07:21 PM |
| Views | 3 |
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% |
13368
2.49 KIPS |
|
|
Image Classification (HP)
|
100% |
18543
3.45 KIPS |
|
|
Image Classification (Q)
|
100% |
11325
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26698
432.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
34799
564.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
23923
389.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
262205
305.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
743012
867.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
223049
261.3 IPS |
|
|
Object Detection (SP)
|
100% |
18801
1.49 KIPS |
|
|
Object Detection (HP)
|
100% |
26109
2.07 KIPS |
|
|
Object Detection (Q)
|
86% |
16415
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
56543
671.9 IPS |
|
|
Face Detection (HP)
|
100% |
75525
897.4 IPS |
|
|
Face Detection (Q)
|
97% |
45511
542.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
97439
750.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
171693
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68206
544.7 IPS |
|
|
Style Transfer (SP)
|
100% |
380391
489.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1125253
1.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
324913
419.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53928
1.99 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77716
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41889
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3711
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2155
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
6236
107.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5810
100.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2827
53.0 IPS |
