HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
4546
Single Precision Score
1435
Half Precision Score
6933
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 01:19 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% |
3499
650.7 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (Q)
|
99% |
6122
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1941
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3467
56.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8755
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4031
4.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
26489
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
3365
266.9 IPS |
|
|
Object Detection (HP)
|
100% |
651
51.6 IPS |
|
|
Object Detection (Q)
|
86% |
6068
487.6 IPS |
|
|
Face Detection (SP)
|
100% |
9344
111.0 IPS |
|
|
Face Detection (HP)
|
100% |
1589
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
9142
109.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10455
80.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1842
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15278
121.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19601
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9572
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
23396
30.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3364
124.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4659
172.5 IPS |
|
|
Text Classification (SP)
|
100% |
1444
1.93 KIPS |
|
|
Text Classification (HP)
|
100% |
700
934.4 IPS |
|
|
Text Classification (Q)
|
97% |
1503
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2027
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3289
66.1 IPS |
