Micro-Star International Co., Ltd MS-7C02
Geekbench AI Score
9328
Single Precision Score
7700
Half Precision Score
6890
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 24 2025 07:58 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7C02 |
| Motherboard | Micro-Star International Co., Ltd B450 TOMAHAWK (MS-7C02) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3941
733.0 IPS |
|
|
Image Classification (HP)
|
100% |
3753
698.0 IPS |
|
|
Image Classification (Q)
|
99% |
3236
603.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5539
89.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4823
78.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4741
77.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
46877
54.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
27943
32.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
39997
46.9 IPS |
|
|
Object Detection (SP)
|
100% |
4703
373.1 IPS |
|
|
Object Detection (HP)
|
100% |
4492
356.3 IPS |
|
|
Object Detection (Q)
|
83% |
3829
309.4 IPS |
|
|
Face Detection (SP)
|
100% |
10198
121.2 IPS |
|
|
Face Detection (HP)
|
100% |
9061
107.7 IPS |
|
|
Face Detection (Q)
|
97% |
8552
102.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24619
189.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18903
145.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
17851
142.4 IPS |
|
|
Style Transfer (SP)
|
100% |
78269
100.6 IPS |
|
|
Style Transfer (HP)
|
100% |
53945
69.3 IPS |
|
|
Style Transfer (Q)
|
98% |
65316
84.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14465
534.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11951
441.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9377
347.2 IPS |
|
|
Text Classification (SP)
|
100% |
1741
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1397
1.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1017
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2096
36.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2092
36.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1080
20.3 IPS |
