METAPHYUNI MetamechBook01
Geekbench AI Score
5880
Single Precision Score
5728
Half Precision Score
15972
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 06:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 8945HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | METAPHYUNI MetamechBook01 |
| Motherboard | Default string MetamechBook01 |
| Power Plan | Balanced Mode |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 8945HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3811
708.7 IPS |
|
|
Image Classification (HP)
|
100% |
3865
718.7 IPS |
|
|
Image Classification (Q)
|
100% |
10435
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2858
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2144
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9235
149.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8183
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
8200
9.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
32769
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
3368
267.2 IPS |
|
|
Object Detection (HP)
|
100% |
3383
268.3 IPS |
|
|
Object Detection (Q)
|
88% |
10694
857.3 IPS |
|
|
Face Detection (SP)
|
100% |
7795
92.6 IPS |
|
|
Face Detection (HP)
|
100% |
7810
92.8 IPS |
|
|
Face Detection (Q)
|
100% |
26057
309.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10122
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10155
78.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
27624
214.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22436
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22133
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
85333
110.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4729
174.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4784
176.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16362
606.0 IPS |
|
|
Text Classification (SP)
|
100% |
3978
5.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
92% |
5745
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4946
85.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4949
85.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5542
95.5 IPS |
