Micro-Star International Co., Ltd. MS-7C90
Geekbench AI Score
9651
Single Precision Score
7794
Half Precision Score
6816
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 11:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C90 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING CARBON WIFI (MS-7C90) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3900
725.3 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.7 IPS |
|
|
Image Classification (Q)
|
100% |
3067
570.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6698
108.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5530
89.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
5679
92.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
40764
47.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24670
28.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
35768
41.9 IPS |
|
|
Object Detection (SP)
|
100% |
4820
382.3 IPS |
|
|
Object Detection (HP)
|
100% |
4538
360.0 IPS |
|
|
Object Detection (Q)
|
89% |
3588
287.3 IPS |
|
|
Face Detection (SP)
|
100% |
10184
121.0 IPS |
|
|
Face Detection (HP)
|
100% |
8874
105.4 IPS |
|
|
Face Detection (Q)
|
97% |
8343
99.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23082
177.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17625
135.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
16725
134.5 IPS |
|
|
Style Transfer (SP)
|
100% |
72793
93.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49291
63.4 IPS |
|
|
Style Transfer (Q)
|
98% |
62727
80.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14896
550.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11181
412.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9618
356.2 IPS |
|
|
Text Classification (SP)
|
100% |
1807
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1407
1.88 KIPS |
|
|
Text Classification (Q)
|
97% |
1050
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2967
51.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2967
51.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1096
24.4 IPS |
