Dell Inc. OptiPlex 7070
Geekbench AI Score
2415
Single Precision Score
2512
Half Precision Score
1885
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 01:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA T400 4GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Dell Inc. OptiPlex 7070 |
| Motherboard | Dell Inc. 0NRKPK |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9700 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1017
189.2 IPS |
|
|
Image Classification (HP)
|
100% |
1082
201.3 IPS |
|
|
Image Classification (Q)
|
99% |
981
182.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1314
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6000
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
5912
6.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
5525
6.47 IPS |
|
|
Object Detection (SP)
|
100% |
1222
96.9 IPS |
|
|
Object Detection (HP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (Q)
|
83% |
1124
90.9 IPS |
|
|
Face Detection (SP)
|
100% |
2394
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
2503
29.7 IPS |
|
|
Face Detection (Q)
|
97% |
2151
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4456
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4626
35.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3808
30.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11350
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11767
15.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10340
13.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2944
108.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3089
114.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2387
88.4 IPS |
|
|
Text Classification (SP)
|
100% |
1034
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1064
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
514
689.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1602
27.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1601
27.7 IPS |
|
|
Machine Translation (Q)
|
70% |
683
12.8 IPS |
