Micro Computer (HK) Tech Limited MS-A1
Geekbench AI Score
30317
Single Precision Score
39026
Half Precision Score
23734
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MULTICORE |
| Upload Date | December 14 2024 05:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MS-A1 |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd A5WSR |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11519
2.14 KIPS |
|
|
Image Classification (HP)
|
99% |
14395
2.68 KIPS |
|
|
Image Classification (Q)
|
100% |
10011
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13743
222.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15574
252.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12509
203.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
294967
344.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
450921
526.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
257564
301.8 IPS |
|
|
Object Detection (SP)
|
100% |
14294
1.13 KIPS |
|
|
Object Detection (HP)
|
100% |
17247
1.37 KIPS |
|
|
Object Detection (Q)
|
86% |
12319
989.7 IPS |
|
|
Face Detection (SP)
|
100% |
35643
423.5 IPS |
|
|
Face Detection (HP)
|
100% |
41116
488.5 IPS |
|
|
Face Detection (Q)
|
97% |
31352
373.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
86649
667.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
137659
1.06 KIPS |
|
|
Depth Estimation (Q)
|
77% |
64531
516.1 IPS |
|
|
Style Transfer (SP)
|
100% |
505441
649.8 IPS |
|
|
Style Transfer (HP)
|
100% |
860003
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
434334
560.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52580
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
66713
2.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39444
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3502
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4239
5.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2089
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3420
58.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1972
37.0 IPS |
