Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
23723
Single Precision Score
32614
Half Precision Score
18874
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 22 2025 03:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2699 v4 |
| Topology | 1 Processor, 22 Cores, 44 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 22 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8444
1.57 KIPS |
|
|
Image Classification (HP)
|
99% |
11033
2.06 KIPS |
|
|
Image Classification (Q)
|
100% |
7516
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15887
257.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19032
308.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15046
244.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
178080
207.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
406394
474.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
160321
187.8 IPS |
|
|
Object Detection (SP)
|
100% |
10342
820.3 IPS |
|
|
Object Detection (HP)
|
100% |
13336
1.06 KIPS |
|
|
Object Detection (Q)
|
85% |
9141
735.4 IPS |
|
|
Face Detection (SP)
|
100% |
29611
351.8 IPS |
|
|
Face Detection (HP)
|
100% |
36008
427.9 IPS |
|
|
Face Detection (Q)
|
97% |
26140
311.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
64302
495.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
103228
797.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
52565
420.2 IPS |
|
|
Style Transfer (SP)
|
100% |
294914
379.1 IPS |
|
|
Style Transfer (HP)
|
100% |
634760
816.0 IPS |
|
|
Style Transfer (Q)
|
98% |
264142
340.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39013
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42121
1.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27386
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
2715
3.62 KIPS |
|
|
Text Classification (HP)
|
99% |
3121
4.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1578
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3842
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2208
41.4 IPS |
