HP HP ZBook Firefly 16 inch G10 Mobile Workstation PC
Geekbench AI Score
4852
Single Precision Score
10082
Half Precision Score
3562
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | barmanracing |
| Upload Date | December 09 2025 10:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A500 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Firefly 16 inch G10 Mobile Workstation PC |
| Motherboard | HP 8B41 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1365U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2105
391.4 IPS |
|
|
Image Classification (HP)
|
99% |
3990
744.3 IPS |
|
|
Image Classification (Q)
|
99% |
1647
307.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3385
54.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5878
95.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2754
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15569
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
63653
74.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13948
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
5103
404.8 IPS |
|
|
Object Detection (Q)
|
84% |
2002
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
5279
62.7 IPS |
|
|
Face Detection (HP)
|
100% |
9795
116.4 IPS |
|
|
Face Detection (Q)
|
97% |
4420
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11969
92.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24854
191.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
8948
71.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33093
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
110488
142.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28504
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6277
231.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13102
483.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4607
170.6 IPS |
|
|
Text Classification (SP)
|
100% |
1213
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (Q)
|
97% |
652
873.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1738
29.9 IPS |
|
|
Machine Translation (Q)
|
70% |
768
14.4 IPS |
