ZXJ W101
Geekbench AI Score
3547
Single Precision Score
1765
Half Precision Score
4220
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 01:28 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% |
622
115.6 IPS |
|
|
Image Classification (Q)
|
99% |
5136
957.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2642
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7577
8.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
6067
7.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
25736
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2344
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
815
64.7 IPS |
|
|
Object Detection (Q)
|
88% |
2167
173.7 IPS |
|
|
Face Detection (SP)
|
100% |
3434
40.8 IPS |
|
|
Face Detection (HP)
|
100% |
1859
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
5263
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8150
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2708
20.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5019
40.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17363
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15199
19.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26827
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2812
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2475
91.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3556
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2068
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
412
551.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2284
51.0 IPS |
