HP HP EliteDesk 800 G4 TWR
Geekbench AI Score
3324
Single Precision Score
3368
Half Precision Score
5081
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | October 19 2024 03:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteDesk 800 G4 TWR |
| Motherboard | HP 83E0 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2247
417.9 IPS |
|
|
Image Classification (HP)
|
100% |
2248
418.0 IPS |
|
|
Image Classification (Q)
|
100% |
3403
632.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3335
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4571
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
8332
9.77 IPS |
|
|
Object Detection (SP)
|
100% |
2181
173.0 IPS |
|
|
Object Detection (HP)
|
100% |
2173
172.4 IPS |
|
|
Object Detection (Q)
|
87% |
3323
266.5 IPS |
|
|
Face Detection (SP)
|
100% |
3634
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
3595
42.7 IPS |
|
|
Face Detection (Q)
|
97% |
8256
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5852
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5932
45.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
9416
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13088
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13193
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24525
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2662
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2710
100.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5307
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
1527
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
1644
2.19 KIPS |
|
|
Text Classification (Q)
|
91% |
1188
1.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3181
54.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3038
52.3 IPS |
