HP HP EliteBook 835 G7
Geekbench AI Score
1025
Single Precision Score
1008
Half Precision Score
1123
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Jakub007 |
| Upload Date | October 14 2024 10:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 PRO 4750U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 835 G7 |
| Motherboard | HP 8760 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 4750U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
625
116.2 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.3 IPS |
|
|
Image Classification (Q)
|
100% |
787
146.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
337
5.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.87 IPS |
|
|
Image Segmentation (Q)
|
99% |
350
5.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
1326
1.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
1275
1.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
1571
1.84 IPS |
|
|
Object Detection (SP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (HP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (Q)
|
87% |
721
57.8 IPS |
|
|
Face Detection (SP)
|
100% |
1610
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1468
17.4 IPS |
|
|
Face Detection (Q)
|
97% |
2265
27.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1845
14.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1805
13.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
2075
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3653
4.70 IPS |
|
|
Style Transfer (HP)
|
100% |
3983
5.12 IPS |
|
|
Style Transfer (Q)
|
98% |
4447
5.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
822
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
808
29.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
974
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
720
960.7 IPS |
|
|
Text Classification (HP)
|
100% |
654
873.0 IPS |
|
|
Text Classification (Q)
|
91% |
443
596.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1150
19.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1143
19.7 IPS |
