HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
6340
Single Precision Score
6341
Half Precision Score
13920
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 03:40 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13850HX |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4116
765.5 IPS |
|
|
Image Classification (HP)
|
100% |
4111
764.5 IPS |
|
|
Image Classification (Q)
|
100% |
8751
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5265
85.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5315
86.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9666
156.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7890
9.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
7438
8.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
26146
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3579
283.9 IPS |
|
|
Object Detection (HP)
|
100% |
3621
287.2 IPS |
|
|
Object Detection (Q)
|
88% |
9210
738.3 IPS |
|
|
Face Detection (SP)
|
100% |
10320
122.6 IPS |
|
|
Face Detection (HP)
|
100% |
10596
125.9 IPS |
|
|
Face Detection (Q)
|
100% |
21708
257.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9273
71.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9337
71.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
23341
181.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21724
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21596
27.8 IPS |
|
|
Style Transfer (Q)
|
98% |
75409
97.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4670
172.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4692
173.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15151
561.1 IPS |
|
|
Text Classification (SP)
|
100% |
3539
4.72 KIPS |
|
|
Text Classification (HP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (Q)
|
92% |
4800
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4993
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5010
86.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4828
83.2 IPS |
