HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
13776
Single Precision Score
24500
Half Precision Score
10957
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 01:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 1000 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5838
1.09 KIPS |
|
|
Image Classification (HP)
|
99% |
10703
2.00 KIPS |
|
|
Image Classification (Q)
|
99% |
5370
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9639
156.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14468
234.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9135
148.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
59981
70.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
188412
219.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
53399
62.6 IPS |
|
|
Object Detection (SP)
|
100% |
6639
526.6 IPS |
|
|
Object Detection (HP)
|
100% |
12550
995.5 IPS |
|
|
Object Detection (Q)
|
84% |
6089
491.2 IPS |
|
|
Face Detection (SP)
|
100% |
15740
187.0 IPS |
|
|
Face Detection (HP)
|
100% |
26212
311.5 IPS |
|
|
Face Detection (Q)
|
97% |
14264
170.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
29041
223.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
60543
466.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
26128
209.0 IPS |
|
|
Style Transfer (SP)
|
100% |
104344
134.1 IPS |
|
|
Style Transfer (HP)
|
100% |
251030
322.7 IPS |
|
|
Style Transfer (Q)
|
98% |
93250
120.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22522
831.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40098
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16801
622.1 IPS |
|
|
Text Classification (SP)
|
100% |
3157
4.21 KIPS |
|
|
Text Classification (HP)
|
99% |
3822
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
1659
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3241
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1615
30.3 IPS |
