Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
24363
Single Precision Score
37459
Half Precision Score
14670
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luispepe |
| Upload Date | December 17 2025 10:38 PM |
| Views | 4 |
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% |
9298
1.73 KIPS |
|
|
Image Classification (HP)
|
99% |
13522
2.52 KIPS |
|
|
Image Classification (Q)
|
100% |
6336
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17784
288.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25843
418.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12408
201.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
144419
168.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
392367
457.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
110994
130.0 IPS |
|
|
Object Detection (SP)
|
100% |
12144
963.2 IPS |
|
|
Object Detection (HP)
|
100% |
17867
1.42 KIPS |
|
|
Object Detection (Q)
|
85% |
8198
659.5 IPS |
|
|
Face Detection (SP)
|
100% |
32939
391.4 IPS |
|
|
Face Detection (HP)
|
100% |
47652
566.2 IPS |
|
|
Face Detection (Q)
|
97% |
21982
262.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
63396
488.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
109057
840.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
36914
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
260107
334.4 IPS |
|
|
Style Transfer (HP)
|
100% |
607406
780.8 IPS |
|
|
Style Transfer (Q)
|
98% |
182784
235.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36602
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46052
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19842
734.7 IPS |
|
|
Text Classification (SP)
|
100% |
2647
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1373
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
4828
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4759
82.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1598
30.0 IPS |
