Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
4077
Single Precision Score
4411
Half Precision Score
3164
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | February 01 2025 11:20 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | ASUS R9 295X2 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP Z440 Workstation |
| Motherboard | Hewlett-Packard 212B |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2687W v3 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1331
247.5 IPS |
|
|
Image Classification (HP)
|
100% |
1541
286.5 IPS |
|
|
Image Classification (Q)
|
100% |
1213
225.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2385
38.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1951
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
23509
27.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
25806
30.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
20662
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
1608
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (Q)
|
85% |
1504
121.1 IPS |
|
|
Face Detection (SP)
|
100% |
3709
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
4019
47.8 IPS |
|
|
Face Detection (Q)
|
97% |
3304
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8558
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9483
73.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
7058
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
44313
57.0 IPS |
|
|
Style Transfer (HP)
|
100% |
53174
68.4 IPS |
|
|
Style Transfer (Q)
|
98% |
35773
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7644
282.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8025
296.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5129
189.9 IPS |
|
|
Text Classification (SP)
|
100% |
750
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
745
994.1 IPS |
|
|
Text Classification (Q)
|
97% |
501
671.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1409
24.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1430
24.7 IPS |
|
|
Machine Translation (Q)
|
70% |
638
12.0 IPS |
