HP HP Z2 Tower G9 Workstation Desktop PC
Geekbench AI Score
2853
Single Precision Score
2861
Half Precision Score
2084
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | exacta |
| Upload Date | March 09 2025 04:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | HP HP Z2 Tower G9 Workstation Desktop PC |
| Motherboard | HP 895C |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2553
474.8 IPS |
|
|
Image Classification (HP)
|
100% |
2213
411.5 IPS |
|
|
Image Classification (Q)
|
99% |
1605
299.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3627
58.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3668
59.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1508
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3221
3.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
3161
3.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
4720
5.53 IPS |
|
|
Object Detection (SP)
|
100% |
2257
179.0 IPS |
|
|
Object Detection (HP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (Q)
|
85% |
1812
145.8 IPS |
|
|
Face Detection (SP)
|
100% |
3798
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
3883
46.1 IPS |
|
|
Face Detection (Q)
|
97% |
3235
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3115
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3032
23.4 IPS |
|
|
Depth Estimation (Q)
|
63% |
2606
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3184
4.09 IPS |
|
|
Style Transfer (HP)
|
100% |
3152
4.05 IPS |
|
|
Style Transfer (Q)
|
98% |
7492
9.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2693
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2757
101.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2240
83.0 IPS |
|
|
Text Classification (SP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1702
2.27 KIPS |
|
|
Text Classification (Q)
|
92% |
776
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3082
53.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3091
53.2 IPS |
|
|
Machine Translation (Q)
|
58% |
681
16.0 IPS |
