Dell Inc. OptiPlex 7010
Geekbench AI Score
2077
Single Precision Score
2033
Half Precision Score
1551
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 17 2025 12:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 750 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7010 |
| Motherboard | Dell Inc. 0773VG |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770S |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
821
152.6 IPS |
|
|
Image Classification (HP)
|
100% |
799
148.6 IPS |
|
|
Image Classification (Q)
|
100% |
695
129.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1113
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1109
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
909
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6883
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6456
7.53 IPS |
|
|
Pose Estimation (Q)
|
96% |
6112
7.16 IPS |
|
|
Object Detection (SP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (HP)
|
100% |
1012
80.3 IPS |
|
|
Object Detection (Q)
|
83% |
849
68.6 IPS |
|
|
Face Detection (SP)
|
100% |
1750
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
1775
21.1 IPS |
|
|
Face Detection (Q)
|
97% |
1440
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3735
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3636
28.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
3006
24.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11183
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10964
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
9670
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3069
113.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2931
108.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2189
81.1 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
783
1.04 KIPS |
|
|
Text Classification (Q)
|
97% |
444
594.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1286
22.2 IPS |
|
|
Machine Translation (Q)
|
70% |
605
11.3 IPS |
