HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC
Geekbench AI Score
6122
Single Precision Score
9373
Half Precision Score
14096
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 15 2025 11:04 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC |
| Motherboard | HP 8CD1 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| 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% |
4468
830.9 IPS |
|
|
Image Classification (HP)
|
100% |
6546
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
7769
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3885
63.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9450
153.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11883
192.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16524
19.3 IPS |
|
|
Pose Estimation (HP)
|
99% |
15475
18.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
50483
59.1 IPS |
|
|
Object Detection (SP)
|
100% |
4237
336.0 IPS |
|
|
Object Detection (HP)
|
100% |
6306
500.2 IPS |
|
|
Object Detection (Q)
|
88% |
9354
749.6 IPS |
|
|
Face Detection (SP)
|
100% |
7720
91.7 IPS |
|
|
Face Detection (HP)
|
100% |
14739
175.1 IPS |
|
|
Face Detection (Q)
|
100% |
25722
305.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14859
114.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
25546
197.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
27329
212.4 IPS |
|
|
Style Transfer (SP)
|
100% |
39676
51.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49544
63.7 IPS |
|
|
Style Transfer (Q)
|
98% |
123159
158.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6614
244.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11105
410.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15498
573.9 IPS |
|
|
Text Classification (SP)
|
71% |
996
1.44 KIPS |
|
|
Text Classification (HP)
|
71% |
1441
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
1820
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2030
35.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2907
50.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2910
50.3 IPS |
