HP HP EliteBook 645 14 inch G11 Notebook PC
Geekbench AI Score
3202
Single Precision Score
3178
Half Precision Score
5415
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 02 2025 09:18 PM |
| Views | 8 |
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% |
2203
409.7 IPS |
|
|
Image Classification (HP)
|
100% |
2233
415.4 IPS |
|
|
Image Classification (Q)
|
100% |
3708
689.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1046
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3259
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4246
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4241
4.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
8840
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
2062
163.6 IPS |
|
|
Object Detection (HP)
|
100% |
2071
164.2 IPS |
|
|
Object Detection (Q)
|
87% |
3774
302.7 IPS |
|
|
Face Detection (SP)
|
100% |
4594
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
4395
52.2 IPS |
|
|
Face Detection (Q)
|
97% |
9333
111.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5539
42.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5551
42.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
9582
75.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12190
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12114
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25990
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2419
89.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2465
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5520
204.5 IPS |
|
|
Text Classification (SP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2189
2.92 KIPS |
|
|
Text Classification (Q)
|
91% |
1240
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3431
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3445
59.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3385
58.3 IPS |
