Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
8377
Single Precision Score
8361
Half Precision Score
6186
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | zyyads |
| Upload Date | July 01 2025 06:42 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2697A v4 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2197
408.5 IPS |
|
|
Image Classification (HP)
|
100% |
3265
607.1 IPS |
|
|
Image Classification (Q)
|
99% |
1911
356.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5655
91.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5716
92.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4587
74.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
67497
78.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
36162
42.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
52561
61.6 IPS |
|
|
Object Detection (SP)
|
100% |
2880
228.4 IPS |
|
|
Object Detection (HP)
|
100% |
4420
350.6 IPS |
|
|
Object Detection (Q)
|
84% |
2543
205.1 IPS |
|
|
Face Detection (SP)
|
100% |
5878
69.8 IPS |
|
|
Face Detection (HP)
|
100% |
9188
109.2 IPS |
|
|
Face Detection (Q)
|
97% |
5167
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
19368
149.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17932
138.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
15039
120.2 IPS |
|
|
Style Transfer (SP)
|
100% |
106542
137.0 IPS |
|
|
Style Transfer (HP)
|
100% |
59927
77.0 IPS |
|
|
Style Transfer (Q)
|
98% |
78276
100.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16409
605.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13138
485.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9781
362.2 IPS |
|
|
Text Classification (SP)
|
100% |
1243
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1517
2.02 KIPS |
|
|
Text Classification (Q)
|
97% |
860
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2849
49.1 IPS |
|
|
Machine Translation (HP)
|
96% |
2846
49.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1370
25.7 IPS |
