HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
18685
Single Precision Score
30540
Half Precision Score
14490
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 03:02 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3500 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7104
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
13891
2.59 KIPS |
|
|
Image Classification (Q)
|
100% |
6762
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13789
223.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20304
329.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
12533
203.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
103290
120.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
262208
306.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
92351
108.2 IPS |
|
|
Object Detection (SP)
|
100% |
8590
681.4 IPS |
|
|
Object Detection (HP)
|
100% |
13004
1.03 KIPS |
|
|
Object Detection (Q)
|
85% |
7324
589.6 IPS |
|
|
Face Detection (SP)
|
100% |
24683
293.3 IPS |
|
|
Face Detection (HP)
|
100% |
34332
407.9 IPS |
|
|
Face Detection (Q)
|
97% |
20630
246.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
39126
301.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
67031
516.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
32734
261.5 IPS |
|
|
Style Transfer (SP)
|
100% |
160695
206.6 IPS |
|
|
Style Transfer (HP)
|
100% |
391673
503.5 IPS |
|
|
Style Transfer (Q)
|
98% |
143356
184.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32945
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45700
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23869
883.8 IPS |
|
|
Text Classification (SP)
|
100% |
3079
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1596
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
3792
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4574
78.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1931
36.2 IPS |
