HP HP ZBook Firefly 16 inch G10 Mobile Workstation PC
Geekbench AI Score
5209
Single Precision Score
10816
Half Precision Score
3774
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | barmanracing |
| Upload Date | January 27 2026 10:35 AM |
| Views | 9 |
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% |
2313
430.2 IPS |
|
|
Image Classification (HP)
|
99% |
4831
901.1 IPS |
|
|
Image Classification (Q)
|
99% |
2023
377.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3501
56.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6293
102.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2791
45.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14654
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
61795
72.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
13227
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.2 IPS |
|
|
Object Detection (HP)
|
100% |
5749
456.0 IPS |
|
|
Object Detection (Q)
|
84% |
2111
170.3 IPS |
|
|
Face Detection (SP)
|
100% |
5368
63.8 IPS |
|
|
Face Detection (HP)
|
100% |
10130
120.4 IPS |
|
|
Face Detection (Q)
|
97% |
4531
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11890
91.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
26445
203.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
9047
72.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33277
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
109639
140.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27690
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6713
247.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14272
527.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4532
167.8 IPS |
|
|
Text Classification (SP)
|
100% |
1882
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2544
3.40 KIPS |
|
|
Text Classification (Q)
|
97% |
908
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1797
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1904
32.8 IPS |
|
|
Machine Translation (Q)
|
70% |
797
14.9 IPS |
