METAPHYUNI MetamechBook01
Geekbench AI Score
2693
Single Precision Score
1234
Half Precision Score
5936
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:58 AM |
| Views | 3 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2283
424.6 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
99% |
5547
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
600
9.72 IPS |
|
|
Image Segmentation (Q)
|
98% |
6446
104.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4245
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
3666
4.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
17349
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
1955
155.1 IPS |
|
|
Object Detection (HP)
|
100% |
569
45.1 IPS |
|
|
Object Detection (Q)
|
86% |
5468
439.5 IPS |
|
|
Face Detection (SP)
|
100% |
4441
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
1237
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
8565
102.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5448
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1854
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6486
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10327
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9105
11.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21417
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1657
61.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4636
171.7 IPS |
|
|
Text Classification (SP)
|
100% |
1450
1.94 KIPS |
|
|
Text Classification (HP)
|
100% |
632
844.2 IPS |
|
|
Text Classification (Q)
|
97% |
1324
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1692
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2196
44.1 IPS |
