HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
23582
Single Precision Score
37049
Half Precision Score
14104
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | bulldemonking |
| Upload Date | June 30 2025 06:47 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8971
1.67 KIPS |
|
|
Image Classification (HP)
|
99% |
13858
2.58 KIPS |
|
|
Image Classification (Q)
|
100% |
6036
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16430
266.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23631
383.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11972
194.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
129777
151.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
381972
445.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
103280
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
11584
918.8 IPS |
|
|
Object Detection (HP)
|
100% |
17238
1.37 KIPS |
|
|
Object Detection (Q)
|
85% |
8123
653.4 IPS |
|
|
Face Detection (SP)
|
100% |
31276
371.6 IPS |
|
|
Face Detection (HP)
|
100% |
45524
540.9 IPS |
|
|
Face Detection (Q)
|
97% |
21807
260.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
61779
476.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100984
778.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
36207
290.1 IPS |
|
|
Style Transfer (SP)
|
100% |
240222
308.8 IPS |
|
|
Style Transfer (HP)
|
100% |
577265
742.1 IPS |
|
|
Style Transfer (Q)
|
98% |
174608
225.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34599
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45952
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18999
703.5 IPS |
|
|
Text Classification (SP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1252
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4707
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4573
78.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1567
29.4 IPS |
