HP HP ZBook 15 G4
Geekbench AI Score
588
Single Precision Score
622
Half Precision Score
312
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | April 24 2025 09:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-7700HQ |
| System Information | |
|---|---|
| Operating System | Pop!_OS 22.04 LTS |
| Model | HP HP ZBook 15 G4 |
| Motherboard | HP 8275 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (HP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (Q)
|
99% |
289
53.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
213
3.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
782
0.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
756
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
481
38.2 IPS |
|
|
Object Detection (HP)
|
100% |
482
38.3 IPS |
|
|
Object Detection (Q)
|
85% |
138
11.1 IPS |
|
|
Face Detection (SP)
|
100% |
588
6.99 IPS |
|
|
Face Detection (HP)
|
100% |
581
6.90 IPS |
|
|
Face Detection (Q)
|
97% |
346
4.12 IPS |
|
|
Depth Estimation (SP)
|
100% |
606
4.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
662
5.10 IPS |
|
|
Depth Estimation (Q)
|
63% |
366
3.43 IPS |
|
|
Style Transfer (SP)
|
100% |
1220
1.57 IPS |
|
|
Style Transfer (HP)
|
100% |
1208
1.55 IPS |
|
|
Style Transfer (Q)
|
98% |
1452
1.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
488
18.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
490
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
403
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
687
916.7 IPS |
|
|
Text Classification (HP)
|
100% |
676
902.3 IPS |
|
|
Text Classification (Q)
|
92% |
206
277.0 IPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (Q)
|
58% |
91
2.13 IPS |
