HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
4059
Single Precision Score
1423
Half Precision Score
6499
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | rolandrasch |
| Upload Date | January 16 2025 11:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-14700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| Power Plan | HP Optimized (recommended) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3873
720.2 IPS |
|
|
Image Classification (HP)
|
100% |
560
104.1 IPS |
|
|
Image Classification (Q)
|
99% |
7005
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4136
67.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9466
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
4261
4.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
22127
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
2797
221.9 IPS |
|
|
Object Detection (HP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (Q)
|
86% |
5431
436.5 IPS |
|
|
Face Detection (SP)
|
100% |
7953
94.5 IPS |
|
|
Face Detection (HP)
|
100% |
1459
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
6988
83.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8202
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1746
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13669
109.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16103
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9594
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22268
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2693
99.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1781
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4052
150.0 IPS |
|
|
Text Classification (SP)
|
100% |
1151
1.54 KIPS |
|
|
Text Classification (HP)
|
100% |
723
965.1 IPS |
|
|
Text Classification (Q)
|
97% |
1469
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1902
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
684
11.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3053
61.3 IPS |
