HP Z1 Entry Tower G5 HP HP Z1 Entry Tower G5
Geekbench AI Score
2721
Single Precision Score
1154
Half Precision Score
3991
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | icemc |
| Upload Date | January 23 2026 01:18 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-9700K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP Z1 Entry Tower G5 |
| Motherboard | HP 8591 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700K |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1984
368.9 IPS |
|
|
Image Classification (HP)
|
100% |
360
66.9 IPS |
|
|
Image Classification (Q)
|
96% |
3326
621.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1036
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
4368
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4967
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
4041
4.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
9277
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
2362
187.4 IPS |
|
|
Object Detection (HP)
|
100% |
476
37.8 IPS |
|
|
Object Detection (Q)
|
58% |
2218
242.3 IPS |
|
|
Face Detection (SP)
|
100% |
2830
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
5624
67.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6257
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1493
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8023
64.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12126
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8942
11.5 IPS |
|
|
Style Transfer (Q)
|
87% |
12376
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2042
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1750
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3288
121.8 IPS |
|
|
Text Classification (SP)
|
100% |
1387
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
690
920.6 IPS |
|
|
Text Classification (Q)
|
97% |
1073
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
1741
33.6 IPS |
