HP HP ZBook Firefly 16 inch G10 Mobile Workstation PC
Geekbench AI Score
4653
Single Precision Score
6255
Half Precision Score
9546
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | schoolveer |
| Upload Date | April 03 2026 06:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook Firefly 16 inch G10 Mobile Workstation PC |
| Motherboard | HP 8B41 |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2807
522.0 IPS |
|
|
Image Classification (HP)
|
100% |
4131
768.2 IPS |
|
|
Image Classification (Q)
|
99% |
5567
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4354
70.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7144
115.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9525
154.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10019
11.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
7334
8.56 IPS |
|
|
Pose Estimation (Q)
|
97% |
30795
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.7 IPS |
|
|
Object Detection (HP)
|
100% |
3811
302.3 IPS |
|
|
Object Detection (Q)
|
90% |
5720
457.3 IPS |
|
|
Face Detection (SP)
|
100% |
7885
93.7 IPS |
|
|
Face Detection (HP)
|
100% |
11944
141.9 IPS |
|
|
Face Detection (Q)
|
100% |
17903
212.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9497
73.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
14733
113.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
19458
151.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26273
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34531
44.4 IPS |
|
|
Style Transfer (Q)
|
98% |
66026
85.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4103
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6240
230.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11342
420.0 IPS |
|
|
Text Classification (SP)
|
71% |
1152
1.67 KIPS |
|
|
Text Classification (HP)
|
71% |
1430
2.07 KIPS |
|
|
Text Classification (Q)
|
92% |
1305
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2052
35.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1978
34.2 IPS |
