HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
18766
Single Precision Score
31583
Half Precision Score
14497
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 02:57 PM |
| Views | 2 |
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% |
7102
1.32 KIPS |
|
|
Image Classification (HP)
|
99% |
14058
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
6597
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13287
215.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20650
334.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12804
208.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
101858
118.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
280549
327.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
96715
113.3 IPS |
|
|
Object Detection (SP)
|
100% |
8568
679.6 IPS |
|
|
Object Detection (HP)
|
100% |
17006
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
7004
563.9 IPS |
|
|
Face Detection (SP)
|
100% |
24337
289.2 IPS |
|
|
Face Detection (HP)
|
100% |
31801
377.9 IPS |
|
|
Face Detection (Q)
|
97% |
20857
248.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
39745
306.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75786
583.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
32363
258.6 IPS |
|
|
Style Transfer (SP)
|
100% |
160817
206.7 IPS |
|
|
Style Transfer (HP)
|
100% |
378540
486.6 IPS |
|
|
Style Transfer (Q)
|
98% |
149487
192.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32272
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45043
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23282
862.1 IPS |
|
|
Text Classification (SP)
|
100% |
3079
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3922
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
1560
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4425
76.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1956
36.7 IPS |
