METAPHYUNI MetamechBook
Geekbench AI Score
16867
Single Precision Score
20348
Half Precision Score
13977
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lingxue |
| Upload Date | February 10 2025 11:12 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7600M XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | METAPHYUNI MetamechBook |
| Motherboard | Default string MetamechBook01 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735H with Radeon Graphics |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8242
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
10006
1.86 KIPS |
|
|
Image Classification (Q)
|
100% |
7603
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10024
162.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8809
142.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8978
146.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
90945
106.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
142253
166.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
82040
96.1 IPS |
|
|
Object Detection (SP)
|
100% |
6954
551.6 IPS |
|
|
Object Detection (HP)
|
99% |
10226
811.1 IPS |
|
|
Object Detection (Q)
|
87% |
6282
504.6 IPS |
|
|
Face Detection (SP)
|
100% |
20956
249.0 IPS |
|
|
Face Detection (HP)
|
100% |
25859
307.3 IPS |
|
|
Face Detection (Q)
|
97% |
17920
213.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45297
349.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
57198
440.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
37549
301.1 IPS |
|
|
Style Transfer (SP)
|
100% |
155908
200.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232146
298.4 IPS |
|
|
Style Transfer (Q)
|
98% |
139532
179.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25704
949.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31702
1.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20949
775.7 IPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2120
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2847
49.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2964
51.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1940
36.4 IPS |
