HP HP EliteBook 645 14 inch G11 Notebook PC
Geekbench AI Score
3187
Single Precision Score
3219
Half Precision Score
5420
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 09:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 7535U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 645 14 inch G11 Notebook PC |
| Motherboard | HP 8C7A |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7535U |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2207
410.5 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.7 IPS |
|
|
Image Classification (Q)
|
100% |
3729
693.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1018
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1070
17.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3279
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4260
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4184
4.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
8894
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
2034
161.3 IPS |
|
|
Object Detection (HP)
|
100% |
2074
164.5 IPS |
|
|
Object Detection (Q)
|
87% |
3785
303.6 IPS |
|
|
Face Detection (SP)
|
100% |
4451
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
4419
52.5 IPS |
|
|
Face Detection (Q)
|
97% |
9359
111.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5470
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5563
42.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
9415
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12125
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12327
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
25998
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2384
88.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2471
91.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5539
205.2 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (Q)
|
91% |
1245
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3336
57.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3370
58.1 IPS |
