HP HP Z2 Tower G5 Workstation
Geekbench AI Score
2045
Single Precision Score
2034
Half Precision Score
1512
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | nataros |
| Upload Date | August 29 2024 08:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | HP HP Z2 Tower G5 Workstation |
| Motherboard | HP 8750 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 4 |
| Base Frequency | 5.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1712
318.4 IPS |
|
|
Image Classification (HP)
|
100% |
1730
321.7 IPS |
|
|
Image Classification (Q)
|
99% |
1023
190.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2267
36.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1001
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2368
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2370
2.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
3292
3.86 IPS |
|
|
Object Detection (SP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (HP)
|
100% |
1801
142.9 IPS |
|
|
Object Detection (Q)
|
86% |
1173
94.3 IPS |
|
|
Face Detection (SP)
|
100% |
2375
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
2361
28.1 IPS |
|
|
Face Detection (Q)
|
97% |
2345
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2285
17.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
2280
17.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
2312
18.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2486
3.20 IPS |
|
|
Style Transfer (HP)
|
100% |
2485
3.20 IPS |
|
|
Style Transfer (Q)
|
98% |
5382
6.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1555
57.6 IPS |
|
|
Text Classification (SP)
|
100% |
1510
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (Q)
|
92% |
605
812.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2216
38.2 IPS |
|
|
Machine Translation (Q)
|
58% |
578
13.6 IPS |
