HP HP EliteDesk 800 G3 SFF
Geekbench AI Score
2647
Single Precision Score
2621
Half Precision Score
3919
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | strtj |
| Upload Date | April 12 2025 08:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-7700 CPU @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Gentoo Linux |
| Model | HP HP EliteDesk 800 G3 SFF |
| Motherboard | HP 8299 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1595
296.7 IPS |
|
|
Image Classification (HP)
|
100% |
1581
294.1 IPS |
|
|
Image Classification (Q)
|
100% |
2492
463.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1650
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3173
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3170
3.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
5793
6.79 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (Q)
|
87% |
2489
199.7 IPS |
|
|
Face Detection (SP)
|
100% |
3260
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (Q)
|
97% |
6321
75.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4085
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4090
31.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
6574
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9023
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9052
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
16428
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1877
69.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1875
69.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3433
127.1 IPS |
|
|
Text Classification (SP)
|
100% |
1900
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
1896
2.53 KIPS |
|
|
Text Classification (Q)
|
91% |
1281
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3026
52.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2984
51.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2974
51.2 IPS |
