HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC
Geekbench AI Score
2819
Single Precision Score
1124
Half Precision Score
5398
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | runnerxa |
| Upload Date | October 07 2025 06:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| 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% |
2232
415.2 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
99% |
4794
894.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1293
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
771
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6500
105.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4560
5.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
3006
3.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
15447
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2020
160.2 IPS |
|
|
Object Detection (HP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (Q)
|
86% |
4514
362.8 IPS |
|
|
Face Detection (SP)
|
100% |
5725
68.0 IPS |
|
|
Face Detection (HP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
6311
75.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5446
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1469
11.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10570
84.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10606
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7221
9.28 IPS |
|
|
Style Transfer (Q)
|
98% |
15399
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1944
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1388
51.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3778
139.9 IPS |
|
|
Text Classification (SP)
|
100% |
1249
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
585
780.7 IPS |
|
|
Text Classification (Q)
|
97% |
1160
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1485
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2148
43.2 IPS |
