HP HP Z2 Tower G1i Workstation Desktop PC
Geekbench AI Score
6598
Single Precision Score
2544
Half Precision Score
10548
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | NabHirwani |
| Upload Date | March 24 2026 03:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Tower G1i Workstation Desktop PC |
| Motherboard | HP 8D3C |
| Power Plan | HP High Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285 |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5484
1.02 KIPS |
|
|
Image Classification (HP)
|
100% |
874
162.5 IPS |
|
|
Image Classification (Q)
|
99% |
9505
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2458
39.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1587
25.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16113
262.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15028
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7969
9.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
45537
53.4 IPS |
|
|
Object Detection (SP)
|
100% |
4543
360.4 IPS |
|
|
Object Detection (HP)
|
100% |
1131
89.7 IPS |
|
|
Object Detection (Q)
|
86% |
11722
942.1 IPS |
|
|
Face Detection (SP)
|
100% |
13617
161.8 IPS |
|
|
Face Detection (HP)
|
100% |
2421
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
12943
154.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
13963
107.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3344
25.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
22580
180.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30657
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20417
26.2 IPS |
|
|
Style Transfer (Q)
|
98% |
17522
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5515
203.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3550
131.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6568
243.2 IPS |
|
|
Text Classification (SP)
|
100% |
1853
2.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1054
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1552
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2855
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1474
25.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3998
80.3 IPS |
