HP HP ProBook 635 Aero G8 Notebook PC
Geekbench AI Score
2292
Single Precision Score
1123
Half Precision Score
3646
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | March 20 2026 06:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 635 Aero G8 Notebook PC |
| Motherboard | HP 8892 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1903
353.9 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (Q)
|
96% |
3255
607.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
3666
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3453
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2807
3.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
7104
8.40 IPS |
|
|
Object Detection (SP)
|
100% |
1715
136.0 IPS |
|
|
Object Detection (HP)
|
100% |
564
44.7 IPS |
|
|
Object Detection (Q)
|
58% |
2145
234.4 IPS |
|
|
Face Detection (SP)
|
100% |
2480
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
1057
12.6 IPS |
|
|
Face Detection (Q)
|
96% |
5206
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4585
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1630
12.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6679
53.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7856
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6726
8.65 IPS |
|
|
Style Transfer (Q)
|
87% |
9696
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1335
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2785
103.2 IPS |
|
|
Text Classification (SP)
|
100% |
1414
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
737
983.1 IPS |
|
|
Text Classification (Q)
|
97% |
1191
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
613
10.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2045
39.5 IPS |
