Micro-Star International Co., Ltd. MS-7C95
Geekbench AI Score
18083
Single Precision Score
27990
Half Precision Score
14675
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Alan156 |
| Upload Date | January 27 2025 12:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. PRO B550M-VC WIFI (MS-7C95) |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8065
1.50 KIPS |
|
|
Image Classification (HP)
|
99% |
11726
2.19 KIPS |
|
|
Image Classification (Q)
|
99% |
7366
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10133
164.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12257
198.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9339
151.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
110411
128.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
318182
371.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
97833
114.6 IPS |
|
|
Object Detection (SP)
|
100% |
8922
707.7 IPS |
|
|
Object Detection (HP)
|
100% |
13277
1.05 KIPS |
|
|
Object Detection (Q)
|
85% |
7906
636.5 IPS |
|
|
Face Detection (SP)
|
100% |
20806
247.2 IPS |
|
|
Face Detection (HP)
|
100% |
29059
345.3 IPS |
|
|
Face Detection (Q)
|
97% |
18715
223.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
46926
361.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87185
671.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
38644
309.4 IPS |
|
|
Style Transfer (SP)
|
100% |
188513
242.3 IPS |
|
|
Style Transfer (HP)
|
100% |
435339
559.6 IPS |
|
|
Style Transfer (Q)
|
98% |
169999
219.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30963
1.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43726
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23707
877.9 IPS |
|
|
Text Classification (SP)
|
100% |
2814
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
3329
4.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1859
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2897
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3028
52.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1607
30.1 IPS |
