HP HP Z1 Entry Tower G5
Geekbench AI Score
3772
Single Precision Score
3812
Half Precision Score
5524
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 10:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-9900 CPU @ 3.10GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | HP HP Z1 Entry Tower G5 |
| Motherboard | HP 8591 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2341
435.3 IPS |
|
|
Image Classification (HP)
|
100% |
2359
438.7 IPS |
|
|
Image Classification (Q)
|
100% |
3705
689.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2718
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2670
43.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4158
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5564
6.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5519
6.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
10447
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
100% |
2411
191.3 IPS |
|
|
Object Detection (Q)
|
87% |
3692
296.1 IPS |
|
|
Face Detection (SP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
3979
47.3 IPS |
|
|
Face Detection (Q)
|
97% |
9928
118.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4818
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6661
51.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
10427
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15913
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15775
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
29395
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3127
115.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3121
115.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5899
218.5 IPS |
|
|
Text Classification (SP)
|
100% |
2502
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1980
2.64 KIPS |
|
|
Text Classification (Q)
|
91% |
836
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2969
51.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2999
51.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2970
51.2 IPS |
