Hewlett-Packard HP Z440 Workstation
Geekbench AI Score
4175
Single Precision Score
3590
Half Precision Score
3263
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | intender |
| Upload Date | January 31 2025 04:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD FirePro S7150 |
| 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% |
1446
268.8 IPS |
|
|
Image Classification (HP)
|
100% |
1635
304.1 IPS |
|
|
Image Classification (Q)
|
100% |
1277
237.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2368
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2543
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2073
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
23063
26.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10671
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
20830
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (HP)
|
100% |
2047
162.4 IPS |
|
|
Object Detection (Q)
|
85% |
1385
111.5 IPS |
|
|
Face Detection (SP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
4309
51.2 IPS |
|
|
Face Detection (Q)
|
97% |
3498
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8948
68.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7696
59.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
7412
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
49031
63.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21407
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37501
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7302
269.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5045
186.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5263
194.9 IPS |
|
|
Text Classification (SP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
513
686.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1391
24.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1445
25.0 IPS |
|
|
Machine Translation (Q)
|
70% |
683
12.8 IPS |
