Micro-Star International Co., Ltd. MS-7A33
Geekbench AI Score
9472
Single Precision Score
7838
Half Precision Score
6574
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | goofball |
| Upload Date | July 05 2025 04:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A33 |
| Motherboard | MSI X370 SLI PLUS (MS-7A33) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 1200 |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3692
686.6 IPS |
|
|
Image Classification (HP)
|
100% |
3467
644.8 IPS |
|
|
Image Classification (Q)
|
99% |
2390
445.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7078
114.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6025
97.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5816
94.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
47436
55.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27070
31.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
39395
46.2 IPS |
|
|
Object Detection (SP)
|
100% |
4760
377.6 IPS |
|
|
Object Detection (HP)
|
100% |
4559
361.6 IPS |
|
|
Object Detection (Q)
|
83% |
3843
310.5 IPS |
|
|
Face Detection (SP)
|
100% |
10811
128.5 IPS |
|
|
Face Detection (HP)
|
100% |
9653
114.7 IPS |
|
|
Face Detection (Q)
|
97% |
8954
106.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
23936
184.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
18220
140.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
17876
142.6 IPS |
|
|
Style Transfer (SP)
|
100% |
80052
102.9 IPS |
|
|
Style Transfer (HP)
|
100% |
55068
70.8 IPS |
|
|
Style Transfer (Q)
|
98% |
66112
85.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13832
510.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11377
420.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8924
330.4 IPS |
|
|
Text Classification (SP)
|
100% |
1248
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1124
1.50 KIPS |
|
|
Text Classification (Q)
|
97% |
610
816.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2758
47.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2741
47.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1244
23.3 IPS |
