HP HP Z4 G5
Geekbench AI Score
18264
Single Precision Score
30127
Half Precision Score
12013
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 06 2025 02:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A4000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | HP HP Z4 G5 |
| Motherboard | HP 8962 |
| CPU Information | |
|---|---|
| Name | Intel Xeon w7-2475X |
| Topology | 1 Processor, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7484
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
11647
2.17 KIPS |
|
|
Image Classification (Q)
|
100% |
5371
998.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
13428
217.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20764
336.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10382
168.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
92171
107.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
275044
320.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
74188
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
9507
754.1 IPS |
|
|
Object Detection (HP)
|
100% |
15023
1.19 KIPS |
|
|
Object Detection (Q)
|
85% |
6981
562.0 IPS |
|
|
Face Detection (SP)
|
100% |
22507
267.4 IPS |
|
|
Face Detection (HP)
|
100% |
35257
418.9 IPS |
|
|
Face Detection (Q)
|
97% |
17056
203.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
45879
353.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
83304
641.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
30352
243.1 IPS |
|
|
Style Transfer (SP)
|
100% |
152462
196.0 IPS |
|
|
Style Transfer (HP)
|
100% |
398426
512.2 IPS |
|
|
Style Transfer (Q)
|
98% |
124032
159.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28196
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
38302
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16810
622.5 IPS |
|
|
Text Classification (SP)
|
100% |
2724
3.64 KIPS |
|
|
Text Classification (HP)
|
99% |
3474
4.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1377
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3879
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3959
68.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1459
27.4 IPS |
