HONOR BRN-HXXB
Geekbench AI Score
4463
Single Precision Score
4453
Half Precision Score
12994
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Annihilator |
| Upload Date | October 30 2024 04:36 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7640HS w/ Radeon 760M Graphics |
| 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% |
3058
568.7 IPS |
|
|
Image Classification (HP)
|
100% |
3119
580.1 IPS |
|
|
Image Classification (Q)
|
100% |
8691
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1719
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7245
117.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5809
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
6024
7.03 IPS |
|
|
Pose Estimation (Q)
|
98% |
23996
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2823
223.9 IPS |
|
|
Object Detection (HP)
|
100% |
2733
216.8 IPS |
|
|
Object Detection (Q)
|
88% |
8496
681.0 IPS |
|
|
Face Detection (SP)
|
100% |
5744
68.3 IPS |
|
|
Face Detection (HP)
|
100% |
5693
67.6 IPS |
|
|
Face Detection (Q)
|
100% |
20562
244.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7751
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7919
61.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
21875
170.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16547
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16444
21.1 IPS |
|
|
Style Transfer (Q)
|
98% |
63640
82.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3645
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3661
135.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12525
463.9 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (Q)
|
92% |
5029
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4567
78.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4360
75.1 IPS |
|
|
Machine Translation (Q)
|
100% |
5931
102.2 IPS |
