Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
35639
Single Precision Score
56062
Half Precision Score
27757
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luispepe |
| Upload Date | December 30 2025 08:42 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% |
13005
2.42 KIPS |
|
|
Image Classification (HP)
|
100% |
17995
3.35 KIPS |
|
|
Image Classification (Q)
|
100% |
11791
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25371
411.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
34763
563.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
23835
387.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
253779
296.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
756270
882.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
216873
254.0 IPS |
|
|
Object Detection (SP)
|
100% |
18807
1.49 KIPS |
|
|
Object Detection (HP)
|
100% |
25348
2.01 KIPS |
|
|
Object Detection (Q)
|
86% |
16054
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
53871
640.1 IPS |
|
|
Face Detection (HP)
|
100% |
77289
918.4 IPS |
|
|
Face Detection (Q)
|
97% |
46006
548.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
94140
725.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
158242
1.22 KIPS |
|
|
Depth Estimation (Q)
|
78% |
69726
556.8 IPS |
|
|
Style Transfer (SP)
|
100% |
365998
470.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1096327
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
316986
408.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52813
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77138
2.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41566
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3332
4.45 KIPS |
|
|
Text Classification (HP)
|
100% |
3858
5.15 KIPS |
|
|
Text Classification (Q)
|
97% |
2209
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6427
110.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6410
110.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2972
55.7 IPS |
