HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
5629
Single Precision Score
5871
Half Precision Score
13597
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 01:44 PM |
| Views | 8 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3984
740.9 IPS |
|
|
Image Classification (HP)
|
100% |
4044
752.1 IPS |
|
|
Image Classification (Q)
|
100% |
8720
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5047
81.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5117
83.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9663
156.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7372
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
7225
8.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
25646
30.0 IPS |
|
|
Object Detection (SP)
|
100% |
3446
273.3 IPS |
|
|
Object Detection (HP)
|
100% |
3484
276.4 IPS |
|
|
Object Detection (Q)
|
88% |
9224
739.4 IPS |
|
|
Face Detection (SP)
|
100% |
6725
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
6444
76.6 IPS |
|
|
Face Detection (Q)
|
100% |
20594
244.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5942
45.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8923
68.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
22822
177.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20626
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20702
26.6 IPS |
|
|
Style Transfer (Q)
|
98% |
72068
92.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4447
164.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4444
164.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14257
528.0 IPS |
|
|
Text Classification (SP)
|
100% |
3453
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (Q)
|
92% |
4783
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4942
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5038
86.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4693
80.8 IPS |
