Micro Computer (HK) Tech Limited EliteMini Series
Geekbench AI Score
10455
Single Precision Score
12219
Half Precision Score
7655
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | anbG34 |
| Upload Date | September 12 2024 07:45 AM |
| Views | 12 |
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% |
4197
780.5 IPS |
|
|
Image Classification (HP)
|
100% |
4660
866.7 IPS |
|
|
Image Classification (Q)
|
100% |
3411
634.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6461
104.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5778
93.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5785
94.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
68538
80.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
107068
124.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
62215
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
4399
348.9 IPS |
|
|
Object Detection (HP)
|
99% |
5825
462.1 IPS |
|
|
Object Detection (Q)
|
89% |
3638
291.2 IPS |
|
|
Face Detection (SP)
|
100% |
12885
153.1 IPS |
|
|
Face Detection (HP)
|
100% |
14549
172.9 IPS |
|
|
Face Detection (Q)
|
97% |
10355
123.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
31642
243.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35069
270.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
23137
186.5 IPS |
|
|
Style Transfer (SP)
|
100% |
131833
169.5 IPS |
|
|
Style Transfer (HP)
|
100% |
183515
235.9 IPS |
|
|
Style Transfer (Q)
|
98% |
111711
144.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18434
680.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22014
812.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12618
467.2 IPS |
|
|
Text Classification (SP)
|
100% |
1162
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1252
1.67 KIPS |
|
|
Text Classification (Q)
|
97% |
690
923.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1658
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1713
29.5 IPS |
|
|
Machine Translation (Q)
|
60% |
664
14.8 IPS |
