HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
3613
Single Precision Score
1291
Half Precision Score
4262
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | wodkane |
| Upload Date | September 18 2024 11:30 AM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Fury 16 G11 Mobile Workstation PC |
| Motherboard | HP 8CA7 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2162
402.1 IPS |
|
|
Image Classification (HP)
|
100% |
489
91.0 IPS |
|
|
Image Classification (Q)
|
99% |
3554
662.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
800
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2984
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8458
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3957
4.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
25973
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
2404
190.7 IPS |
|
|
Object Detection (HP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (Q)
|
88% |
2037
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
4190
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (Q)
|
97% |
4526
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8289
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1701
13.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
8671
69.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18299
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8422
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20629
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3168
117.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2012
74.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4639
171.8 IPS |
|
|
Text Classification (SP)
|
100% |
1565
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
584
780.1 IPS |
|
|
Text Classification (Q)
|
97% |
475
635.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1744
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
542
9.34 IPS |
|
|
Machine Translation (Q)
|
60% |
1980
44.2 IPS |
