METAPHYUNI MetamechBook
Geekbench AI Score
2818
Single Precision Score
1279
Half Precision Score
4398
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lingxue |
| Upload Date | February 10 2025 11:06 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7735H with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (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% |
2288
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
468
87.1 IPS |
|
|
Image Classification (Q)
|
96% |
4294
801.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
352
5.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
1953
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4943
5.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
4004
4.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
10782
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
100% |
650
51.6 IPS |
|
|
Object Detection (Q)
|
58% |
3070
335.4 IPS |
|
|
Face Detection (SP)
|
100% |
4143
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
1331
15.8 IPS |
|
|
Face Detection (Q)
|
96% |
7208
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6565
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2092
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10279
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12183
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10754
13.8 IPS |
|
|
Style Transfer (Q)
|
87% |
15789
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2173
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1897
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2457
91.1 IPS |
|
|
Text Classification (SP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1555
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1677
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2183
42.2 IPS |
