Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
26259
Single Precision Score
37426
Half Precision Score
15713
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nagolmas |
| Upload Date | July 30 2025 10:13 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570 GAMING EDGE WIFI (MS-7C37) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9558
1.78 KIPS |
|
|
Image Classification (HP)
|
99% |
13067
2.44 KIPS |
|
|
Image Classification (Q)
|
100% |
6495
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18466
299.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
25958
420.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12858
209.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
197633
230.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
366430
427.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
142998
167.5 IPS |
|
|
Object Detection (SP)
|
100% |
12819
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
17329
1.37 KIPS |
|
|
Object Detection (Q)
|
85% |
8557
688.3 IPS |
|
|
Face Detection (SP)
|
100% |
35015
416.1 IPS |
|
|
Face Detection (HP)
|
100% |
47779
567.7 IPS |
|
|
Face Detection (Q)
|
97% |
22550
268.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
65108
501.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
103609
798.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
38489
308.2 IPS |
|
|
Style Transfer (SP)
|
100% |
285670
367.2 IPS |
|
|
Style Transfer (HP)
|
100% |
630265
810.2 IPS |
|
|
Style Transfer (Q)
|
98% |
202569
261.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39086
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51631
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22343
827.3 IPS |
|
|
Text Classification (SP)
|
100% |
2803
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
3264
4.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1417
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4886
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4762
82.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1613
30.2 IPS |
