HP HP Z8 G5 Workstation Desktop PC
Geekbench AI Score
5566
Single Precision Score
3453
Half Precision Score
14021
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | May 30 2025 12:23 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Silver 4410Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | HP HP Z8 G5 Workstation Desktop PC |
| Motherboard | HP 88C0 |
| Power Plan | HP Optimized (recomendado) |
| CPU Information | |
|---|---|
| Name | Intel Xeon Silver 4410Y |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2997
557.3 IPS |
|
|
Image Classification (HP)
|
100% |
2197
408.5 IPS |
|
|
Image Classification (Q)
|
100% |
6507
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3934
63.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10524
170.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9290
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5843
6.82 IPS |
|
|
Pose Estimation (Q)
|
97% |
60053
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
3345
265.3 IPS |
|
|
Object Detection (HP)
|
100% |
2479
196.7 IPS |
|
|
Object Detection (Q)
|
88% |
7849
629.2 IPS |
|
|
Face Detection (SP)
|
100% |
9654
114.7 IPS |
|
|
Face Detection (HP)
|
100% |
6858
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
18435
219.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9006
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6070
46.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
25170
196.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25002
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13087
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
125416
161.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4857
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2834
104.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15210
563.3 IPS |
|
|
Text Classification (SP)
|
100% |
2183
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1241
1.66 KIPS |
|
|
Text Classification (Q)
|
92% |
2658
3.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2978
51.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3867
66.6 IPS |
