HP HP ZBook Firefly 14 inch G11 Mobile Workstation PC
Geekbench AI Score
3028
Single Precision Score
1152
Half Precision Score
5523
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 08:45 AM |
| Views | 4 |
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 | 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% |
2461
457.8 IPS |
|
|
Image Classification (HP)
|
100% |
446
83.0 IPS |
|
|
Image Classification (Q)
|
99% |
5282
985.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
719
11.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3091
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5239
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3046
3.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
18086
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2187
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (Q)
|
86% |
5281
424.4 IPS |
|
|
Face Detection (SP)
|
100% |
5965
70.9 IPS |
|
|
Face Detection (HP)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
7859
93.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6321
48.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1553
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11558
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11852
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8389
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17244
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2067
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3179
117.7 IPS |
|
|
Text Classification (SP)
|
100% |
1260
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
602
803.1 IPS |
|
|
Text Classification (Q)
|
97% |
1431
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2379
47.8 IPS |
