Micro-Star International Co., Ltd. MS-7C96
Geekbench AI Score
17283
Single Precision Score
27969
Half Precision Score
13774
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 26 2025 10:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C96 |
| Motherboard | Micro-Star International Co., Ltd. B550M-A PRO (MS-7C96) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7023
1.31 KIPS |
|
|
Image Classification (HP)
|
99% |
11720
2.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6331
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11497
186.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15195
246.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
10542
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
88810
103.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
241407
281.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
77314
90.6 IPS |
|
|
Object Detection (SP)
|
100% |
8707
690.6 IPS |
|
|
Object Detection (HP)
|
100% |
14359
1.14 KIPS |
|
|
Object Detection (Q)
|
84% |
7698
620.8 IPS |
|
|
Face Detection (SP)
|
100% |
20732
246.3 IPS |
|
|
Face Detection (HP)
|
100% |
32057
380.9 IPS |
|
|
Face Detection (Q)
|
97% |
18627
222.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
43217
333.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
79649
613.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
35314
282.5 IPS |
|
|
Style Transfer (SP)
|
100% |
144358
185.6 IPS |
|
|
Style Transfer (HP)
|
100% |
343605
441.7 IPS |
|
|
Style Transfer (Q)
|
98% |
125645
162.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28597
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45192
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21880
810.2 IPS |
|
|
Text Classification (SP)
|
100% |
2855
3.81 KIPS |
|
|
Text Classification (HP)
|
99% |
3222
4.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1845
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3608
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3715
64.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1856
34.8 IPS |
