Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
9218
Single Precision Score
7926
Half Precision Score
6515
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | eeddyparis |
| Upload Date | September 04 2025 05:17 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1660 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. X570-A PRO (MS-7C37) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3986
741.2 IPS |
|
|
Image Classification (HP)
|
100% |
3868
719.3 IPS |
|
|
Image Classification (Q)
|
99% |
3218
600.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5977
96.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5549
90.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4844
78.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
40405
47.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
25607
29.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
33335
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
4713
373.8 IPS |
|
|
Object Detection (HP)
|
100% |
4646
368.6 IPS |
|
|
Object Detection (Q)
|
83% |
3743
302.4 IPS |
|
|
Face Detection (SP)
|
100% |
9163
108.9 IPS |
|
|
Face Detection (HP)
|
100% |
9349
111.1 IPS |
|
|
Face Detection (Q)
|
97% |
7723
92.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
22108
170.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17686
136.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16055
128.1 IPS |
|
|
Style Transfer (SP)
|
100% |
72126
92.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50179
64.5 IPS |
|
|
Style Transfer (Q)
|
98% |
56586
73.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12746
470.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11166
412.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8248
305.4 IPS |
|
|
Text Classification (SP)
|
100% |
1737
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1376
1.84 KIPS |
|
|
Text Classification (Q)
|
97% |
989
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3019
52.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3009
52.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1238
23.2 IPS |
