HP HP ProBook 635 Aero G8 Notebook PC
Geekbench AI Score
2405
Single Precision Score
1177
Half Precision Score
3729
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | nisizaka |
| Upload Date | February 23 2026 08:40 PM |
| Views | 8 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1810
336.6 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.3 IPS |
|
|
Image Classification (Q)
|
96% |
3079
574.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
3589
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3457
4.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2714
3.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
6923
8.18 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.5 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
58% |
2117
231.4 IPS |
|
|
Face Detection (SP)
|
100% |
3255
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
1198
14.2 IPS |
|
|
Face Detection (Q)
|
96% |
5708
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4571
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1723
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6753
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8261
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
6669
8.57 IPS |
|
|
Style Transfer (Q)
|
87% |
11576
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2767
102.5 IPS |
|
|
Text Classification (SP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
743
991.5 IPS |
|
|
Text Classification (Q)
|
97% |
1183
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1764
30.4 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2202
42.5 IPS |
