HP HP ZBook Firefly 16 inch G10 Mobile Workstation PC
Geekbench AI Score
2549
Single Precision Score
2585
Half Precision Score
1633
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | barmanracing |
| Upload Date | December 09 2025 10:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1088
202.3 IPS |
|
|
Image Classification (HP)
|
100% |
1107
205.8 IPS |
|
|
Image Classification (Q)
|
100% |
940
174.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2066
33.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1278
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9937
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10524
12.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
5255
6.15 IPS |
|
|
Object Detection (SP)
|
100% |
1275
101.2 IPS |
|
|
Object Detection (HP)
|
98% |
1134
90.2 IPS |
|
|
Object Detection (Q)
|
86% |
1076
86.5 IPS |
|
|
Face Detection (SP)
|
100% |
2649
31.5 IPS |
|
|
Face Detection (HP)
|
100% |
3073
36.5 IPS |
|
|
Face Detection (Q)
|
97% |
1923
22.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5325
41.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5844
45.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3639
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22086
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27991
36.0 IPS |
|
|
Style Transfer (Q)
|
98% |
13896
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3085
113.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3846
142.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1291
47.8 IPS |
|
|
Text Classification (SP)
|
100% |
552
737.0 IPS |
|
|
Text Classification (HP)
|
100% |
311
415.2 IPS |
|
|
Text Classification (Q)
|
97% |
370
495.6 IPS |
|
|
Machine Translation (SP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (Q)
|
70% |
429
8.04 IPS |
