HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC
Geekbench AI Score
6350
Single Precision Score
10202
Half Precision Score
15100
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | runnerxa |
| Upload Date | October 07 2025 06:09 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC |
| Motherboard | HP 8CD1 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4305
800.5 IPS |
|
|
Image Classification (HP)
|
100% |
6756
1.26 KIPS |
|
|
Image Classification (Q)
|
100% |
8127
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3825
62.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9837
159.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13380
216.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16660
19.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
16009
18.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
53657
62.8 IPS |
|
|
Object Detection (SP)
|
100% |
4335
343.9 IPS |
|
|
Object Detection (HP)
|
100% |
6852
543.5 IPS |
|
|
Object Detection (Q)
|
88% |
10111
810.2 IPS |
|
|
Face Detection (SP)
|
100% |
8139
96.7 IPS |
|
|
Face Detection (HP)
|
100% |
16481
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
26340
313.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14048
108.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
26052
201.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
29265
227.5 IPS |
|
|
Style Transfer (SP)
|
100% |
40876
52.5 IPS |
|
|
Style Transfer (HP)
|
100% |
53068
68.2 IPS |
|
|
Style Transfer (Q)
|
98% |
124997
161.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6944
256.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11655
430.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17199
637.0 IPS |
|
|
Text Classification (SP)
|
71% |
1323
1.91 KIPS |
|
|
Text Classification (HP)
|
71% |
1968
2.85 KIPS |
|
|
Text Classification (Q)
|
92% |
1991
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2090
36.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3208
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3167
54.7 IPS |
