Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
14978
Single Precision Score
26123
Half Precision Score
10191
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | boriga7 |
| Upload Date | July 04 2025 08:32 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6375
1.19 KIPS |
|
|
Image Classification (HP)
|
99% |
10308
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
4829
900.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
10857
176.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17694
286.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8545
138.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
70690
82.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
206574
241.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
58896
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
7803
619.0 IPS |
|
|
Object Detection (HP)
|
100% |
14065
1.12 KIPS |
|
|
Object Detection (Q)
|
84% |
6008
484.6 IPS |
|
|
Face Detection (SP)
|
100% |
18141
215.5 IPS |
|
|
Face Detection (HP)
|
100% |
30259
359.5 IPS |
|
|
Face Detection (Q)
|
97% |
14282
170.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
35842
276.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
68627
530.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
24644
197.3 IPS |
|
|
Style Transfer (SP)
|
100% |
118697
152.6 IPS |
|
|
Style Transfer (HP)
|
100% |
309424
397.8 IPS |
|
|
Style Transfer (Q)
|
98% |
95234
122.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21837
806.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36795
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13899
514.7 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3004
4.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1193
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3820
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3933
67.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1490
27.9 IPS |
