HP HP EliteDesk 800 G8 Tower PC
Geekbench AI Score
2091
Single Precision Score
1072
Half Precision Score
3081
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 19 2024 02:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Business (64-bit) |
| Model | HP HP EliteDesk 800 G8 Tower PC |
| Motherboard | HP 889C |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.6 IPS |
|
|
Image Classification (Q)
|
99% |
2690
501.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
699
11.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1954
31.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3675
4.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3092
3.61 IPS |
|
|
Pose Estimation (Q)
|
95% |
15243
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
1345
106.7 IPS |
|
|
Object Detection (HP)
|
100% |
479
38.0 IPS |
|
|
Object Detection (Q)
|
88% |
1569
125.8 IPS |
|
|
Face Detection (SP)
|
100% |
1963
23.3 IPS |
|
|
Face Detection (HP)
|
100% |
1108
13.2 IPS |
|
|
Face Detection (Q)
|
97% |
3645
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4086
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1567
12.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
5982
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9569
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
7774
9.99 IPS |
|
|
Style Transfer (Q)
|
98% |
16397
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1630
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3143
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
1291
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
549
732.5 IPS |
|
|
Text Classification (Q)
|
97% |
355
475.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1403
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (Q)
|
60% |
1539
34.3 IPS |
