HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
13566
Single Precision Score
23744
Half Precision Score
10671
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 01:35 PM |
| Views | 9 |
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% |
5210
968.8 IPS |
|
|
Image Classification (HP)
|
99% |
10780
2.01 KIPS |
|
|
Image Classification (Q)
|
99% |
5281
984.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10432
169.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
14890
241.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
8874
144.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
59149
69.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
184825
215.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
52256
61.2 IPS |
|
|
Object Detection (SP)
|
100% |
6006
476.4 IPS |
|
|
Object Detection (HP)
|
100% |
9670
767.0 IPS |
|
|
Object Detection (Q)
|
84% |
5397
435.3 IPS |
|
|
Face Detection (SP)
|
100% |
14569
173.1 IPS |
|
|
Face Detection (HP)
|
100% |
25586
304.0 IPS |
|
|
Face Detection (Q)
|
97% |
13466
160.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
29424
226.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55358
426.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
23831
190.6 IPS |
|
|
Style Transfer (SP)
|
100% |
110732
142.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272443
350.2 IPS |
|
|
Style Transfer (Q)
|
98% |
93741
120.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21522
794.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38816
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16481
610.3 IPS |
|
|
Text Classification (SP)
|
100% |
3180
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
3710
4.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1761
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3368
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3574
61.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1660
31.1 IPS |
