METAPHYUNI MetamechBook
Geekbench AI Score
4456
Single Precision Score
4494
Half Precision Score
7116
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | lingxue |
| Upload Date | February 10 2025 11:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 7735H with Radeon Graphics |
| 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% |
3224
599.6 IPS |
|
|
Image Classification (HP)
|
100% |
3250
604.5 IPS |
|
|
Image Classification (Q)
|
100% |
5104
949.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3431
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6644
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
6650
7.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
13512
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2949
233.9 IPS |
|
|
Object Detection (HP)
|
100% |
2938
233.1 IPS |
|
|
Object Detection (Q)
|
87% |
4965
398.2 IPS |
|
|
Face Detection (SP)
|
100% |
5529
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
5497
65.3 IPS |
|
|
Face Detection (Q)
|
97% |
13629
162.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8256
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8250
63.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
13551
107.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18491
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18666
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38141
49.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3660
135.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7806
289.1 IPS |
|
|
Text Classification (SP)
|
100% |
3175
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
3165
4.22 KIPS |
|
|
Text Classification (Q)
|
91% |
1292
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4066
70.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3990
68.7 IPS |
