HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
6157
Single Precision Score
6128
Half Precision Score
13757
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 03:30 PM |
| Views | 2 |
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% |
4085
759.7 IPS |
|
|
Image Classification (HP)
|
100% |
4079
758.6 IPS |
|
|
Image Classification (Q)
|
100% |
8724
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5287
85.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5279
85.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9766
158.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7886
9.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
7888
9.20 IPS |
|
|
Pose Estimation (Q)
|
96% |
27637
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
3794
301.0 IPS |
|
|
Object Detection (HP)
|
100% |
3765
298.6 IPS |
|
|
Object Detection (Q)
|
88% |
9377
751.7 IPS |
|
|
Face Detection (SP)
|
100% |
6645
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
6548
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
19304
229.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9756
75.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9657
74.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
24343
189.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22814
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22309
28.7 IPS |
|
|
Style Transfer (Q)
|
98% |
74922
96.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4772
176.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4723
174.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14835
549.4 IPS |
|
|
Text Classification (SP)
|
100% |
3507
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (Q)
|
92% |
4416
5.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4902
84.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4998
86.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4768
82.1 IPS |
