HP Z1 Entry Tower G5 HP HP Z1 Entry Tower G5
Geekbench AI Score
11812
Single Precision Score
19030
Half Precision Score
8015
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | icemc |
| Upload Date | January 23 2026 01:37 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| 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% |
4782
889.3 IPS |
|
|
Image Classification (HP)
|
100% |
6663
1.24 KIPS |
|
|
Image Classification (Q)
|
99% |
3197
596.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8711
141.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12789
207.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
7143
116.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
64827
75.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
180320
210.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
49515
58.0 IPS |
|
|
Object Detection (SP)
|
100% |
5578
442.4 IPS |
|
|
Object Detection (HP)
|
100% |
8970
711.5 IPS |
|
|
Object Detection (Q)
|
84% |
4948
399.1 IPS |
|
|
Face Detection (SP)
|
100% |
16196
192.4 IPS |
|
|
Face Detection (HP)
|
100% |
22791
270.8 IPS |
|
|
Face Detection (Q)
|
97% |
11741
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
34461
265.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
63478
489.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
20970
168.0 IPS |
|
|
Style Transfer (SP)
|
100% |
121648
156.4 IPS |
|
|
Style Transfer (HP)
|
100% |
251356
323.1 IPS |
|
|
Style Transfer (Q)
|
98% |
97087
125.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18540
684.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26913
993.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11055
409.3 IPS |
|
|
Text Classification (SP)
|
100% |
1245
1.66 KIPS |
|
|
Text Classification (HP)
|
99% |
1934
2.58 KIPS |
|
|
Text Classification (Q)
|
97% |
781
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2240
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2388
41.1 IPS |
|
|
Machine Translation (Q)
|
70% |
948
17.8 IPS |
