ZXJ W101
Geekbench AI Score
3218
Single Precision Score
1607
Half Precision Score
4074
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| Upload Date | November 19 2024 01:32 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% |
1914
355.9 IPS |
|
|
Image Classification (HP)
|
100% |
590
109.7 IPS |
|
|
Image Classification (Q)
|
99% |
5028
937.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
901
14.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2587
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6831
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5669
6.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
24762
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
792
62.8 IPS |
|
|
Object Detection (Q)
|
88% |
2177
174.5 IPS |
|
|
Face Detection (SP)
|
100% |
3364
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
1584
18.8 IPS |
|
|
Face Detection (Q)
|
97% |
4832
57.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7213
55.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2401
18.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
5899
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16152
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11100
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23672
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2462
90.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2230
82.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3251
120.4 IPS |
|
|
Text Classification (SP)
|
100% |
1581
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
403
539.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2046
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2034
45.4 IPS |
