HP HP ZBook Fury 15.6 inch G8 Mobile Workstation PC
Geekbench AI Score
2308
Single Precision Score
892
Half Precision Score
4056
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rintalahri |
| Upload Date | June 25 2025 09:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Fury 15.6 inch G8 Mobile Workstation PC |
| Motherboard | HP 8870 |
| Power Plan | Tasapainotettu |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11850H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1791
333.0 IPS |
|
|
Image Classification (HP)
|
100% |
300
55.8 IPS |
|
|
Image Classification (Q)
|
99% |
4243
791.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
976
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1782
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3515
4.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2984
3.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
13039
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1782
141.3 IPS |
|
|
Object Detection (HP)
|
100% |
388
30.8 IPS |
|
|
Object Detection (Q)
|
86% |
4311
346.5 IPS |
|
|
Face Detection (SP)
|
100% |
4100
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
904
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
5467
65.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4934
38.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1252
9.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
9012
71.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8712
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7014
9.02 IPS |
|
|
Style Transfer (Q)
|
98% |
14321
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1300
48.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2320
85.9 IPS |
|
|
Text Classification (SP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
487
649.7 IPS |
|
|
Text Classification (Q)
|
97% |
851
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1370
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
392
6.75 IPS |
|
|
Machine Translation (Q)
|
65% |
2038
40.9 IPS |
