Dell Inc. OptiPlex 7070
Geekbench AI Score
3499
Single Precision Score
3429
Half Precision Score
2635
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | December 07 2025 05:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7070 |
| Motherboard | Dell Inc. 0NRKPK |
| Power Plan | Balanced |
| 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% |
772
143.5 IPS |
|
|
Image Classification (HP)
|
100% |
1358
252.5 IPS |
|
|
Image Classification (Q)
|
99% |
710
132.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2415
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1991
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19570
22.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10748
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16474
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
1112
88.2 IPS |
|
|
Object Detection (HP)
|
100% |
1812
143.7 IPS |
|
|
Object Detection (Q)
|
83% |
1008
81.4 IPS |
|
|
Face Detection (SP)
|
100% |
2279
27.1 IPS |
|
|
Face Detection (HP)
|
100% |
3438
40.9 IPS |
|
|
Face Detection (Q)
|
97% |
2033
24.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7328
56.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6641
51.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6001
47.9 IPS |
|
|
Style Transfer (SP)
|
100% |
32577
41.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19837
25.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26423
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6864
253.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4812
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4540
168.1 IPS |
|
|
Text Classification (SP)
|
100% |
912
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
508
680.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1995
34.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1978
34.2 IPS |
|
|
Machine Translation (Q)
|
70% |
928
17.4 IPS |
