Micro-Star International Co., Ltd. MS-7C94
Geekbench AI Score
10133
Single Precision Score
8641
Half Precision Score
7144
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 11 2025 03:21 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C94 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550M MORTAR WIFI (MS-7C94) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4329
805.1 IPS |
|
|
Image Classification (HP)
|
100% |
4208
782.6 IPS |
|
|
Image Classification (Q)
|
99% |
3468
646.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6527
105.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6137
99.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5343
86.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
43553
50.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
27241
31.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
35956
42.1 IPS |
|
|
Object Detection (SP)
|
100% |
5195
412.1 IPS |
|
|
Object Detection (HP)
|
100% |
5116
405.8 IPS |
|
|
Object Detection (Q)
|
83% |
4218
340.8 IPS |
|
|
Face Detection (SP)
|
100% |
10414
123.7 IPS |
|
|
Face Detection (HP)
|
100% |
10244
121.7 IPS |
|
|
Face Detection (Q)
|
97% |
8604
102.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24114
185.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19094
147.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
17561
140.1 IPS |
|
|
Style Transfer (SP)
|
100% |
78195
100.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53671
69.0 IPS |
|
|
Style Transfer (Q)
|
98% |
61371
79.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14118
521.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12067
445.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8982
332.6 IPS |
|
|
Text Classification (SP)
|
100% |
1894
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (Q)
|
97% |
1077
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3435
59.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1375
25.8 IPS |
