Micro-Star International Co., Ltd. MS-7C91
Geekbench AI Score
13591
Single Precision Score
22904
Half Precision Score
9456
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | molendinar |
| Upload Date | March 08 2025 11:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5865
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
9462
1.76 KIPS |
|
|
Image Classification (Q)
|
99% |
4479
835.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8834
143.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
13083
212.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7247
117.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
70122
81.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
181117
211.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
58336
68.4 IPS |
|
|
Object Detection (SP)
|
100% |
7098
563.0 IPS |
|
|
Object Detection (HP)
|
100% |
12623
1.00 KIPS |
|
|
Object Detection (Q)
|
84% |
5570
449.3 IPS |
|
|
Face Detection (SP)
|
100% |
15746
187.1 IPS |
|
|
Face Detection (HP)
|
100% |
24676
293.2 IPS |
|
|
Face Detection (Q)
|
97% |
12641
150.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
32552
250.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
65157
503.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
22706
181.8 IPS |
|
|
Style Transfer (SP)
|
100% |
114564
147.3 IPS |
|
|
Style Transfer (HP)
|
100% |
288968
371.5 IPS |
|
|
Style Transfer (Q)
|
98% |
91626
118.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20768
766.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34076
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13267
491.3 IPS |
|
|
Text Classification (SP)
|
100% |
2156
2.88 KIPS |
|
|
Text Classification (HP)
|
99% |
2759
3.68 KIPS |
|
|
Text Classification (Q)
|
97% |
1174
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3172
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1324
24.8 IPS |
