HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
13636
Single Precision Score
24537
Half Precision Score
10576
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 01:25 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% |
6073
1.13 KIPS |
|
|
Image Classification (HP)
|
99% |
11212
2.09 KIPS |
|
|
Image Classification (Q)
|
99% |
4295
801.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
9971
161.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13882
225.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8714
141.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
57516
67.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
185622
216.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
53016
62.1 IPS |
|
|
Object Detection (SP)
|
100% |
6397
507.4 IPS |
|
|
Object Detection (HP)
|
100% |
11730
930.4 IPS |
|
|
Object Detection (Q)
|
84% |
6046
487.7 IPS |
|
|
Face Detection (SP)
|
100% |
14582
173.3 IPS |
|
|
Face Detection (HP)
|
100% |
27576
327.7 IPS |
|
|
Face Detection (Q)
|
97% |
14167
168.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
29359
226.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
57285
441.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
26258
210.1 IPS |
|
|
Style Transfer (SP)
|
100% |
104668
134.6 IPS |
|
|
Style Transfer (HP)
|
100% |
285124
366.5 IPS |
|
|
Style Transfer (Q)
|
98% |
92022
118.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21953
810.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39562
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16336
604.9 IPS |
|
|
Text Classification (SP)
|
100% |
3229
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
3805
5.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1654
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1578
29.6 IPS |
