HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
4466
Single Precision Score
1393
Half Precision Score
6982
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 01:23 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3482
647.5 IPS |
|
|
Image Classification (HP)
|
100% |
494
91.9 IPS |
|
|
Image Classification (Q)
|
99% |
5801
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1876
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3584
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8845
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4092
4.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
27804
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
3305
262.2 IPS |
|
|
Object Detection (HP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (Q)
|
86% |
6239
501.4 IPS |
|
|
Face Detection (SP)
|
100% |
9316
110.7 IPS |
|
|
Face Detection (HP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
9960
118.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10469
80.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1812
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
14283
114.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19809
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9828
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24181
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3043
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1858
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4542
168.2 IPS |
|
|
Text Classification (SP)
|
100% |
1382
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
594
793.2 IPS |
|
|
Text Classification (Q)
|
97% |
1517
2.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2039
35.1 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3223
64.8 IPS |
