Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
19364
Single Precision Score
30585
Half Precision Score
12366
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 09:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. X570-A PRO (MS-7C37) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7814
1.45 KIPS |
|
|
Image Classification (HP)
|
99% |
11423
2.13 KIPS |
|
|
Image Classification (Q)
|
100% |
5425
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11875
192.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16825
272.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9498
154.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
117679
137.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
318258
371.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
93652
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
10003
793.5 IPS |
|
|
Object Detection (HP)
|
100% |
15021
1.19 KIPS |
|
|
Object Detection (Q)
|
88% |
6821
547.0 IPS |
|
|
Face Detection (SP)
|
100% |
20346
241.8 IPS |
|
|
Face Detection (HP)
|
100% |
31257
371.4 IPS |
|
|
Face Detection (Q)
|
97% |
15023
179.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
47727
367.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87053
670.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
30691
247.2 IPS |
|
|
Style Transfer (SP)
|
100% |
199245
256.1 IPS |
|
|
Style Transfer (HP)
|
100% |
488734
628.3 IPS |
|
|
Style Transfer (Q)
|
98% |
152229
196.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33510
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44142
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19099
707.2 IPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
3646
4.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1470
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3643
62.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1290
28.8 IPS |
