Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
17964
Single Precision Score
29949
Half Precision Score
14283
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Paul2e |
| Upload Date | November 14 2025 02:51 PM |
| 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-7C56 |
| Motherboard | Micro-Star International Co., Ltd. B550-A PRO (MS-7C56) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7287
1.36 KIPS |
|
|
Image Classification (HP)
|
99% |
12526
2.34 KIPS |
|
|
Image Classification (Q)
|
99% |
6568
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12900
209.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18013
292.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11740
190.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
86681
101.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
249066
290.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
77086
90.3 IPS |
|
|
Object Detection (SP)
|
100% |
9048
717.7 IPS |
|
|
Object Detection (HP)
|
100% |
15689
1.24 KIPS |
|
|
Object Detection (Q)
|
84% |
8037
648.2 IPS |
|
|
Face Detection (SP)
|
100% |
21549
256.1 IPS |
|
|
Face Detection (HP)
|
100% |
34381
408.5 IPS |
|
|
Face Detection (Q)
|
97% |
19336
230.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44053
339.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
84268
649.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
36332
290.7 IPS |
|
|
Style Transfer (SP)
|
100% |
147527
189.6 IPS |
|
|
Style Transfer (HP)
|
100% |
355760
457.3 IPS |
|
|
Style Transfer (Q)
|
98% |
126406
163.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28646
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44894
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22080
817.6 IPS |
|
|
Text Classification (SP)
|
100% |
2840
3.79 KIPS |
|
|
Text Classification (HP)
|
99% |
3262
4.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1871
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4168
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4363
75.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2017
37.8 IPS |
