HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC
Geekbench AI Score
2478
Single Precision Score
1070
Half Precision Score
5041
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 11:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| 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 | 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% |
1822
338.9 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.5 IPS |
|
|
Image Classification (Q)
|
99% |
4174
778.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
5642
91.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4065
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
3076
3.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
14719
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
86% |
4344
349.1 IPS |
|
|
Face Detection (SP)
|
100% |
4716
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
1107
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
5735
68.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5038
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1553
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11259
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9960
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
7624
9.80 IPS |
|
|
Style Transfer (Q)
|
98% |
15064
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1849
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1451
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3666
135.7 IPS |
|
|
Text Classification (SP)
|
100% |
1128
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
514
686.6 IPS |
|
|
Text Classification (Q)
|
97% |
1036
1.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1339
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
65% |
1905
38.3 IPS |
