HP HP Z4 G4 Workstation
Geekbench AI Score
3473
Single Precision Score
1166
Half Precision Score
5534
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | December 12 2025 09:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP Z4 G4 Workstation |
| Motherboard | HP 81C5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900X |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2807
521.9 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.2 IPS |
|
|
Image Classification (Q)
|
99% |
6091
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
5155
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7193
8.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
5593
6.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
29876
35.0 IPS |
|
|
Object Detection (SP)
|
100% |
2561
203.2 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.1 IPS |
|
|
Object Detection (Q)
|
86% |
5155
414.3 IPS |
|
|
Face Detection (SP)
|
100% |
5739
68.2 IPS |
|
|
Face Detection (HP)
|
100% |
955
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
7947
94.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8170
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1445
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
12120
96.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18101
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10415
13.4 IPS |
|
|
Style Transfer (Q)
|
98% |
20529
26.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2594
95.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2105
77.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4619
171.0 IPS |
|
|
Text Classification (SP)
|
100% |
1170
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
588
784.2 IPS |
|
|
Text Classification (Q)
|
97% |
337
451.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1527
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (Q)
|
65% |
1811
36.4 IPS |
