ZXJ W101
Geekbench AI Score
3541
Single Precision Score
1770
Half Precision Score
4238
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 01:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7840HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ZXJ W101 |
| Motherboard | Default String Default String |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2174
404.3 IPS |
|
|
Image Classification (HP)
|
100% |
618
115.0 IPS |
|
|
Image Classification (Q)
|
99% |
5177
965.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1270
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2659
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7552
8.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
6114
7.13 IPS |
|
|
Pose Estimation (Q)
|
95% |
25853
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
2326
184.5 IPS |
|
|
Object Detection (HP)
|
100% |
824
65.3 IPS |
|
|
Object Detection (Q)
|
88% |
2196
176.0 IPS |
|
|
Face Detection (SP)
|
100% |
3425
40.7 IPS |
|
|
Face Detection (HP)
|
100% |
1842
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
5242
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8390
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2712
20.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5060
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17218
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15059
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26839
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2476
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3562
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
2074
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
417
559.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2274
39.2 IPS |
|
|
Machine Translation (HP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2265
50.5 IPS |
