Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
24098
Single Precision Score
36946
Half Precision Score
14747
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | luispepe |
| Upload Date | October 26 2025 03:07 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% |
9445
1.76 KIPS |
|
|
Image Classification (HP)
|
99% |
13546
2.53 KIPS |
|
|
Image Classification (Q)
|
100% |
6442
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17413
282.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
24397
395.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12148
197.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
142754
166.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
391346
456.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
111658
130.8 IPS |
|
|
Object Detection (SP)
|
100% |
12151
963.8 IPS |
|
|
Object Detection (HP)
|
100% |
17767
1.41 KIPS |
|
|
Object Detection (Q)
|
85% |
8289
666.8 IPS |
|
|
Face Detection (SP)
|
100% |
32581
387.1 IPS |
|
|
Face Detection (HP)
|
100% |
46769
555.7 IPS |
|
|
Face Detection (Q)
|
97% |
21963
261.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
63063
485.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
107981
831.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
37476
300.2 IPS |
|
|
Style Transfer (SP)
|
100% |
259031
333.0 IPS |
|
|
Style Transfer (HP)
|
100% |
605194
778.0 IPS |
|
|
Style Transfer (Q)
|
98% |
185320
239.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36189
1.34 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46019
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20005
740.8 IPS |
|
|
Text Classification (SP)
|
100% |
2599
3.47 KIPS |
|
|
Text Classification (HP)
|
99% |
3194
4.26 KIPS |
|
|
Text Classification (Q)
|
97% |
1363
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4626
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4591
79.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1615
30.3 IPS |
