METAPHYUNI MetamechBook01
Geekbench AI Score
16584
Single Precision Score
20227
Half Precision Score
13108
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 06:55 AM |
| Views | 2 |
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 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% |
7352
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
8786
1.63 KIPS |
|
|
Image Classification (Q)
|
100% |
6443
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10780
174.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9316
151.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9528
154.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
86048
100.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
136130
158.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
77284
90.6 IPS |
|
|
Object Detection (SP)
|
100% |
6436
510.5 IPS |
|
|
Object Detection (HP)
|
99% |
9778
775.6 IPS |
|
|
Object Detection (Q)
|
89% |
5539
443.3 IPS |
|
|
Face Detection (SP)
|
100% |
19122
227.2 IPS |
|
|
Face Detection (HP)
|
100% |
23184
275.5 IPS |
|
|
Face Detection (Q)
|
97% |
15294
182.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
41895
322.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
52663
405.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
34122
275.1 IPS |
|
|
Style Transfer (SP)
|
100% |
148795
191.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232376
298.7 IPS |
|
|
Style Transfer (Q)
|
98% |
136081
175.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24987
922.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31846
1.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20696
766.3 IPS |
|
|
Text Classification (SP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2158
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3953
68.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1798
40.1 IPS |
