HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC
Geekbench AI Score
2468
Single Precision Score
8232
Half Precision Score
13067
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 13 2025 07:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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 | 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% |
1303
242.3 IPS |
|
|
Image Classification (HP)
|
100% |
6111
1.14 KIPS |
|
|
Image Classification (Q)
|
100% |
8941
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3097
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3673
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
30170
35.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
63672
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
100% |
5027
398.8 IPS |
|
|
Object Detection (Q)
|
88% |
8770
703.1 IPS |
|
|
Face Detection (SP)
|
100% |
4500
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
13382
159.0 IPS |
|
|
Face Detection (Q)
|
100% |
27111
322.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4111
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12914
99.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
24393
189.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9524
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38909
50.0 IPS |
|
|
Style Transfer (Q)
|
98% |
73187
94.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14198
524.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27484
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1265
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1770
2.36 KIPS |
|
|
Text Classification (Q)
|
92% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3773
65.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3788
65.2 IPS |
