HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC
Geekbench AI Score
2712
Single Precision Score
985
Half Precision Score
5588
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 15 2025 10:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| 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% |
2484
462.0 IPS |
|
|
Image Classification (HP)
|
100% |
477
88.8 IPS |
|
|
Image Classification (Q)
|
99% |
5011
934.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
6875
111.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2685
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
1950
2.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
17339
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2113
167.6 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
86% |
5118
411.3 IPS |
|
|
Face Detection (SP)
|
100% |
5994
71.2 IPS |
|
|
Face Detection (HP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
7501
89.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6527
50.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1297
9.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
11053
88.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9514
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5755
7.40 IPS |
|
|
Style Transfer (Q)
|
98% |
14940
19.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2018
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3430
127.0 IPS |
|
|
Text Classification (SP)
|
100% |
1189
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
510
680.8 IPS |
|
|
Text Classification (Q)
|
97% |
1071
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
555
9.57 IPS |
|
|
Machine Translation (Q)
|
65% |
2137
42.9 IPS |
