Dell Inc. OptiPlex 7070
Geekbench AI Score
3550
Single Precision Score
3544
Half Precision Score
2673
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | August 16 2025 01:07 PM |
| Views | 5 |
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% |
763
141.8 IPS |
|
|
Image Classification (HP)
|
100% |
1395
259.3 IPS |
|
|
Image Classification (Q)
|
99% |
712
132.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1990
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19625
22.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10736
12.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
16444
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
1143
90.7 IPS |
|
|
Object Detection (HP)
|
100% |
1859
147.5 IPS |
|
|
Object Detection (Q)
|
83% |
1039
83.9 IPS |
|
|
Face Detection (SP)
|
100% |
2287
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
3476
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
2034
24.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7442
57.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6690
51.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6082
48.5 IPS |
|
|
Style Transfer (SP)
|
100% |
32854
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19795
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
26552
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6595
243.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4948
182.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4496
166.5 IPS |
|
|
Text Classification (SP)
|
100% |
977
1.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1083
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
550
736.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2138
36.8 IPS |
|
|
Machine Translation (HP)
|
96% |
2129
36.8 IPS |
|
|
Machine Translation (Q)
|
70% |
950
17.8 IPS |
