HP HP ZBook Firefly 16 inch G10 Mobile Workstation PC
Geekbench AI Score
2121
Single Precision Score
2029
Half Precision Score
3872
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | schoolveer |
| Upload Date | April 03 2026 06:02 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-1365U |
| 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% |
1132
210.4 IPS |
|
|
Image Classification (HP)
|
100% |
1121
208.5 IPS |
|
|
Image Classification (Q)
|
100% |
2500
464.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1765
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3105
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2814
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
2694
3.14 IPS |
|
|
Pose Estimation (Q)
|
96% |
6639
7.78 IPS |
|
|
Object Detection (SP)
|
100% |
1186
94.1 IPS |
|
|
Object Detection (HP)
|
100% |
1178
93.4 IPS |
|
|
Object Detection (Q)
|
88% |
2389
191.5 IPS |
|
|
Face Detection (SP)
|
100% |
3478
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (Q)
|
100% |
6396
76.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3250
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2782
21.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
3803
29.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7063
9.08 IPS |
|
|
Style Transfer (HP)
|
100% |
8057
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19955
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3721
137.8 IPS |
|
|
Text Classification (SP)
|
100% |
1243
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1128
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
1977
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1897
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1734
29.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1725
29.7 IPS |
