HP HP Z8 G5 Workstation Desktop PC
Geekbench AI Score
5581
Single Precision Score
3719
Half Precision Score
13321
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | JoaoSchlemm |
| Upload Date | April 01 2025 02:15 PM |
| Views | 15 |
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% |
3168
589.2 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.8 IPS |
|
|
Image Classification (Q)
|
100% |
6908
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4273
69.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
11106
180.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8947
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6333
7.39 IPS |
|
|
Pose Estimation (Q)
|
97% |
68431
80.1 IPS |
|
|
Object Detection (SP)
|
100% |
3475
275.6 IPS |
|
|
Object Detection (HP)
|
100% |
2942
233.3 IPS |
|
|
Object Detection (Q)
|
88% |
8500
681.3 IPS |
|
|
Face Detection (SP)
|
100% |
10584
125.8 IPS |
|
|
Face Detection (HP)
|
100% |
8122
96.5 IPS |
|
|
Face Detection (Q)
|
100% |
20216
240.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9696
74.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7059
54.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
26262
204.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22453
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14012
18.0 IPS |
|
|
Style Transfer (Q)
|
98% |
42064
54.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3889
143.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2455
90.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17131
634.4 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2887
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3570
61.5 IPS |
