ZXJ W101
Geekbench AI Score
3341
Single Precision Score
1734
Half Precision Score
4226
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 18 2024 01:31 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% |
2152
400.2 IPS |
|
|
Image Classification (HP)
|
100% |
568
105.6 IPS |
|
|
Image Classification (Q)
|
99% |
4912
916.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
909
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2564
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4724
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
5812
6.78 IPS |
|
|
Pose Estimation (Q)
|
95% |
24642
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2287
181.4 IPS |
|
|
Object Detection (HP)
|
100% |
806
63.9 IPS |
|
|
Object Detection (Q)
|
88% |
2246
180.0 IPS |
|
|
Face Detection (SP)
|
100% |
3299
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
1742
20.7 IPS |
|
|
Face Detection (Q)
|
97% |
5057
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7913
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2718
20.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
5532
44.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17719
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15247
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
26597
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2777
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2488
91.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3733
138.2 IPS |
|
|
Text Classification (SP)
|
100% |
1991
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
431
577.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2182
48.7 IPS |
