METAPHYUNI MetamechBook01
Geekbench AI Score
2120
Single Precision Score
989
Half Precision Score
4565
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 08:20 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | METAPHYUNI MetamechBook01 |
| Motherboard | Default string MetamechBook01 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1612
299.7 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.6 IPS |
|
|
Image Classification (Q)
|
99% |
3282
612.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
755
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
325
5.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
3753
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3173
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2787
3.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
13318
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1585
125.7 IPS |
|
|
Object Detection (HP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (Q)
|
86% |
4526
363.7 IPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
1074
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
6923
82.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4250
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1496
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
5046
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7837
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7246
9.32 IPS |
|
|
Style Transfer (Q)
|
98% |
17982
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1350
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1286
47.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3670
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
1164
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
561
748.3 IPS |
|
|
Text Classification (Q)
|
97% |
1064
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1596
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2162
43.4 IPS |
