HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
4214
Single Precision Score
4551
Half Precision Score
10878
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | wodkane |
| Upload Date | September 18 2024 11:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-14700HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Fury 16 G11 Mobile Workstation PC |
| Motherboard | HP 8CA7 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700HX |
| 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% |
3722
692.2 IPS |
|
|
Image Classification (HP)
|
100% |
3643
677.5 IPS |
|
|
Image Classification (Q)
|
100% |
8071
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3839
62.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4326
70.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5898
95.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6320
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
6688
7.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
10138
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.5 IPS |
|
|
Object Detection (HP)
|
100% |
1929
153.0 IPS |
|
|
Object Detection (Q)
|
88% |
8200
657.3 IPS |
|
|
Face Detection (SP)
|
100% |
6044
71.8 IPS |
|
|
Face Detection (HP)
|
100% |
6043
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
18993
225.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5216
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8649
66.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
21892
170.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18849
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
18717
24.1 IPS |
|
|
Style Transfer (Q)
|
98% |
62195
80.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4207
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4235
156.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13371
495.2 IPS |
|
|
Text Classification (SP)
|
100% |
1323
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
4028
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4167
71.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3390
58.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4212
72.5 IPS |
