Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
10990
Single Precision Score
13110
Half Precision Score
8407
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | October 28 2024 02:29 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600M XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited EliteMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd HPBSD |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4791
890.9 IPS |
|
|
Image Classification (HP)
|
100% |
5400
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
3467
644.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6404
103.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5735
93.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5919
96.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
70587
82.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
109931
128.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
65080
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
4514
358.1 IPS |
|
|
Object Detection (HP)
|
99% |
6310
500.5 IPS |
|
|
Object Detection (Q)
|
89% |
3909
312.9 IPS |
|
|
Face Detection (SP)
|
100% |
13499
160.4 IPS |
|
|
Face Detection (HP)
|
100% |
15133
179.8 IPS |
|
|
Face Detection (Q)
|
97% |
10940
130.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
32730
252.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
37993
292.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
25753
207.6 IPS |
|
|
Style Transfer (SP)
|
100% |
124985
160.7 IPS |
|
|
Style Transfer (HP)
|
100% |
183843
236.3 IPS |
|
|
Style Transfer (Q)
|
98% |
116219
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19717
728.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23668
873.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14549
538.7 IPS |
|
|
Text Classification (SP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1473
1.97 KIPS |
|
|
Text Classification (Q)
|
97% |
941
1.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1753
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1895
32.6 IPS |
|
|
Machine Translation (Q)
|
60% |
754
16.8 IPS |
