Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
18096
Single Precision Score
30039
Half Precision Score
14329
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | July 01 2025 09:25 PM |
| Views | 5 |
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-7C37 |
| Motherboard | Micro-Star International Co., Ltd. X570-A PRO (MS-7C37) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7177
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
12238
2.28 KIPS |
|
|
Image Classification (Q)
|
99% |
6460
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12976
210.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17695
286.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
11855
192.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
87271
101.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
249197
290.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
77040
90.3 IPS |
|
|
Object Detection (SP)
|
100% |
9147
725.5 IPS |
|
|
Object Detection (HP)
|
100% |
15397
1.22 KIPS |
|
|
Object Detection (Q)
|
84% |
8039
648.4 IPS |
|
|
Face Detection (SP)
|
100% |
21684
257.7 IPS |
|
|
Face Detection (HP)
|
100% |
34907
414.8 IPS |
|
|
Face Detection (Q)
|
97% |
19446
231.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
43373
334.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
81169
625.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
35862
286.9 IPS |
|
|
Style Transfer (SP)
|
100% |
145781
187.4 IPS |
|
|
Style Transfer (HP)
|
100% |
348260
447.7 IPS |
|
|
Style Transfer (Q)
|
98% |
129901
167.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28913
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46453
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22283
825.1 IPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3460
4.62 KIPS |
|
|
Text Classification (Q)
|
97% |
1905
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4195
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4541
78.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2001
37.5 IPS |
