HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
13631
Single Precision Score
23978
Half Precision Score
10756
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 01:27 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 1000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook Fury 16 G11 Mobile Workstation PC |
| Motherboard | HP 8CA4 |
| Power Plan | UoA-Power Plan-Peak-System on and monitor on |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13850HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5193
965.8 IPS |
|
|
Image Classification (HP)
|
99% |
10799
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
4586
855.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
9668
156.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13817
224.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8814
143.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
59977
70.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
183475
214.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
51702
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
6508
516.2 IPS |
|
|
Object Detection (HP)
|
100% |
10095
800.7 IPS |
|
|
Object Detection (Q)
|
84% |
5611
452.5 IPS |
|
|
Face Detection (SP)
|
100% |
14594
173.4 IPS |
|
|
Face Detection (HP)
|
100% |
27365
325.2 IPS |
|
|
Face Detection (Q)
|
97% |
15004
178.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
32014
246.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
63280
487.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
25960
207.7 IPS |
|
|
Style Transfer (SP)
|
100% |
105834
136.1 IPS |
|
|
Style Transfer (HP)
|
100% |
243637
313.2 IPS |
|
|
Style Transfer (Q)
|
98% |
97449
125.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21989
811.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37418
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15614
578.2 IPS |
|
|
Text Classification (SP)
|
100% |
3158
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
3801
5.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1789
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3789
65.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1668
31.3 IPS |
