HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
2611
Single Precision Score
3766
Half Precision Score
5789
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | wodkane |
| Upload Date | September 18 2024 12:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| 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% |
1547
287.6 IPS |
|
|
Image Classification (HP)
|
100% |
2607
484.8 IPS |
|
|
Image Classification (Q)
|
99% |
3814
711.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2390
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3796
61.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4363
70.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4322
5.04 IPS |
|
|
Pose Estimation (HP)
|
99% |
3157
3.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
12933
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
98% |
2269
180.6 IPS |
|
|
Object Detection (Q)
|
90% |
4128
330.1 IPS |
|
|
Face Detection (SP)
|
100% |
4948
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
7616
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
10211
121.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5013
38.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8271
63.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11245
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11361
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17429
22.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29852
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2004
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3276
121.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6620
245.2 IPS |
|
|
Text Classification (SP)
|
71% |
1082
1.56 KIPS |
|
|
Text Classification (HP)
|
71% |
1407
2.04 KIPS |
|
|
Text Classification (Q)
|
92% |
1305
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1063
18.3 IPS |
|
|
Machine Translation (HP)
|
98% |
1603
27.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1607
27.7 IPS |
