HONOR BRN-HXXB
Geekbench AI Score
3031
Single Precision Score
1588
Half Precision Score
3844
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Annihilator |
| Upload Date | October 30 2024 04:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7640HS |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | HONOR BRN-HXXB |
| Motherboard | HONOR BRN-HXXB-PCB |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7640HS |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1894
352.2 IPS |
|
|
Image Classification (HP)
|
100% |
603
112.1 IPS |
|
|
Image Classification (Q)
|
99% |
4650
867.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
858
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2292
37.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5938
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4712
5.50 IPS |
|
|
Pose Estimation (Q)
|
95% |
20682
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
2172
172.3 IPS |
|
|
Object Detection (HP)
|
100% |
763
60.5 IPS |
|
|
Object Detection (Q)
|
88% |
2157
172.9 IPS |
|
|
Face Detection (SP)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
1624
19.3 IPS |
|
|
Face Detection (Q)
|
97% |
4559
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6638
51.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2469
19.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
4868
39.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14107
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12015
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22368
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2482
91.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2275
84.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3462
128.2 IPS |
|
|
Text Classification (SP)
|
100% |
1796
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
735
980.8 IPS |
|
|
Text Classification (Q)
|
97% |
413
552.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2054
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2088
46.6 IPS |
