HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC
Geekbench AI Score
2859
Single Precision Score
8428
Half Precision Score
12709
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | Ausbalanciert |
| 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% |
1593
296.2 IPS |
|
|
Image Classification (HP)
|
100% |
5963
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
8065
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2409
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2497
40.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4458
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
29505
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
64058
75.0 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (HP)
|
100% |
5313
421.4 IPS |
|
|
Object Detection (Q)
|
87% |
8533
684.8 IPS |
|
|
Face Detection (SP)
|
100% |
4821
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
14078
167.3 IPS |
|
|
Face Detection (Q)
|
100% |
24681
293.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4788
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16412
126.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
29754
231.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10991
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
46113
59.3 IPS |
|
|
Style Transfer (Q)
|
98% |
83679
107.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1537
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12240
452.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20146
746.1 IPS |
|
|
Text Classification (SP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1667
2.22 KIPS |
|
|
Text Classification (Q)
|
92% |
1657
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2012
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3599
62.0 IPS |
