Dell Inc. Precision Tower 3620
Geekbench AI Score
1777
Single Precision Score
1743
Half Precision Score
2778
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | Goku_is_Gei |
| Upload Date | October 18 2024 06:12 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-6700 CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | Dell Inc. Precision Tower 3620 |
| Motherboard | Dell Inc. 0MWYPT |
| Power Plan | Free i9 performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
817
152.0 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.7 IPS |
|
|
Image Classification (Q)
|
100% |
1727
321.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1263
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2111
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2746
3.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
2750
3.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
5005
5.87 IPS |
|
|
Object Detection (SP)
|
100% |
1323
105.0 IPS |
|
|
Object Detection (HP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (Q)
|
87% |
2121
170.1 IPS |
|
|
Face Detection (SP)
|
100% |
2718
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
2708
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
3640
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2292
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2150
16.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
3363
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5073
6.52 IPS |
|
|
Style Transfer (HP)
|
100% |
4239
5.45 IPS |
|
|
Style Transfer (Q)
|
98% |
7389
9.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1254
46.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3057
113.2 IPS |
|
|
Text Classification (SP)
|
100% |
972
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1445
1.93 KIPS |
|
|
Text Classification (Q)
|
91% |
1201
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2178
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2118
36.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2136
36.8 IPS |
