HP HP ZBook Fury 15.6 inch G8 Mobile Workstation PC
Geekbench AI Score
2168
Single Precision Score
3006
Half Precision Score
4667
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rintalahri |
| Upload Date | June 25 2025 10:08 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
2126
395.3 IPS |
|
|
Image Classification (Q)
|
99% |
3101
578.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3379
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4079
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3858
4.50 IPS |
|
|
Pose Estimation (HP)
|
99% |
2832
3.30 IPS |
|
|
Pose Estimation (Q)
|
97% |
11311
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (HP)
|
98% |
1794
142.7 IPS |
|
|
Object Detection (Q)
|
90% |
3234
258.6 IPS |
|
|
Face Detection (SP)
|
100% |
3905
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
5957
70.8 IPS |
|
|
Face Detection (Q)
|
100% |
7886
93.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4337
33.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6959
53.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
9380
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9566
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14626
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
26467
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1764
65.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2848
105.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5646
209.1 IPS |
|
|
Text Classification (SP)
|
71% |
783
1.13 KIPS |
|
|
Text Classification (HP)
|
71% |
909
1.32 KIPS |
|
|
Text Classification (Q)
|
92% |
916
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
798
13.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1052
18.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1047
18.0 IPS |
