Micro-Star International Co., Ltd. MS-7C37
Geekbench AI Score
22864
Single Precision Score
33412
Half Precision Score
14197
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | endallk007 |
| Upload Date | December 10 2024 04:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (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 | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8682
1.61 KIPS |
|
|
Image Classification (HP)
|
99% |
11686
2.18 KIPS |
|
|
Image Classification (Q)
|
100% |
5969
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14887
241.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19870
322.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11046
179.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
166287
194.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
336735
392.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
125575
147.1 IPS |
|
|
Object Detection (SP)
|
100% |
11445
907.8 IPS |
|
|
Object Detection (HP)
|
100% |
15681
1.24 KIPS |
|
|
Object Detection (Q)
|
85% |
7810
628.3 IPS |
|
|
Face Detection (SP)
|
100% |
30972
368.0 IPS |
|
|
Face Detection (HP)
|
100% |
42175
501.1 IPS |
|
|
Face Detection (Q)
|
97% |
20771
247.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
57716
444.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100245
772.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
34802
278.7 IPS |
|
|
Style Transfer (SP)
|
100% |
258344
332.1 IPS |
|
|
Style Transfer (HP)
|
100% |
608394
782.1 IPS |
|
|
Style Transfer (Q)
|
98% |
186479
240.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36453
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48641
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20730
767.6 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
2933
3.91 KIPS |
|
|
Text Classification (Q)
|
97% |
1288
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1430
26.8 IPS |
