Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
26353
Single Precision Score
37962
Half Precision Score
15701
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | nagolmas |
| Upload Date | March 27 2025 07:13 PM |
| Views | 18 |
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 | 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% |
9553
1.78 KIPS |
|
|
Image Classification (HP)
|
99% |
13182
2.46 KIPS |
|
|
Image Classification (Q)
|
100% |
6513
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18678
302.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
26457
428.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13010
211.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
197717
230.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
364224
425.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
141488
165.8 IPS |
|
|
Object Detection (SP)
|
100% |
12933
1.03 KIPS |
|
|
Object Detection (HP)
|
100% |
17651
1.40 KIPS |
|
|
Object Detection (Q)
|
85% |
8663
696.9 IPS |
|
|
Face Detection (SP)
|
100% |
35225
418.5 IPS |
|
|
Face Detection (HP)
|
100% |
48916
581.2 IPS |
|
|
Face Detection (Q)
|
97% |
22872
272.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
65280
502.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105967
816.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
38790
310.6 IPS |
|
|
Style Transfer (SP)
|
100% |
287220
369.2 IPS |
|
|
Style Transfer (HP)
|
100% |
639068
821.5 IPS |
|
|
Style Transfer (Q)
|
98% |
201388
259.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39591
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53385
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22317
826.4 IPS |
|
|
Text Classification (SP)
|
100% |
2796
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
3326
4.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1384
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4844
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4714
81.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1589
29.8 IPS |
