Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
5162
Single Precision Score
5094
Half Precision Score
4270
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | zyyads |
| Upload Date | July 01 2025 06:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2697A v4 @ 2.60GHz |
| 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% |
3511
652.9 IPS |
|
|
Image Classification (HP)
|
100% |
3141
584.2 IPS |
|
|
Image Classification (Q)
|
100% |
2989
555.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4773
77.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4506
73.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4838
78.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7352
8.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
7337
8.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
9072
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
3227
256.0 IPS |
|
|
Object Detection (HP)
|
100% |
3046
241.6 IPS |
|
|
Object Detection (Q)
|
87% |
3121
250.3 IPS |
|
|
Face Detection (SP)
|
100% |
8862
105.3 IPS |
|
|
Face Detection (HP)
|
100% |
9230
109.7 IPS |
|
|
Face Detection (Q)
|
97% |
10702
127.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8715
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8822
68.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
9354
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22245
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24384
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
28390
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4705
173.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4905
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5413
200.5 IPS |
|
|
Text Classification (SP)
|
100% |
1902
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (Q)
|
91% |
164
220.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2199
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2056
35.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1955
33.7 IPS |
