Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
8020
Single Precision Score
9310
Half Precision Score
6401
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | January 06 2025 06:12 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon Pro V340 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3477
646.7 IPS |
|
|
Image Classification (HP)
|
100% |
3936
732.0 IPS |
|
|
Image Classification (Q)
|
100% |
2954
549.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4473
72.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4762
77.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3912
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
49496
57.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
77810
90.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
42949
50.3 IPS |
|
|
Object Detection (SP)
|
100% |
4142
328.5 IPS |
|
|
Object Detection (HP)
|
100% |
4147
328.9 IPS |
|
|
Object Detection (Q)
|
88% |
3461
277.5 IPS |
|
|
Face Detection (SP)
|
100% |
10718
127.4 IPS |
|
|
Face Detection (HP)
|
100% |
12068
143.4 IPS |
|
|
Face Detection (Q)
|
97% |
9185
109.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22011
169.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
26022
200.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
16761
134.2 IPS |
|
|
Style Transfer (SP)
|
100% |
97372
125.2 IPS |
|
|
Style Transfer (HP)
|
100% |
141479
181.9 IPS |
|
|
Style Transfer (Q)
|
98% |
79312
102.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12879
475.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15248
563.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9287
343.9 IPS |
|
|
Text Classification (SP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
882
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
692
927.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (Q)
|
70% |
857
16.1 IPS |
