Dell Inc. OptiPlex AIO 7410 35W
Geekbench AI Score
2249
Single Precision Score
3583
Half Precision Score
5715
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | adottyondattt |
| Upload Date | July 22 2025 07:22 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex AIO 7410 35W |
| Motherboard | Dell Inc. 01KP8D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500T |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
2574
478.6 IPS |
|
|
Image Classification (Q)
|
99% |
3989
744.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3305
53.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3836
62.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4070
4.75 IPS |
|
|
Pose Estimation (HP)
|
99% |
3035
3.54 IPS |
|
|
Pose Estimation (Q)
|
97% |
12522
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1294
102.6 IPS |
|
|
Object Detection (HP)
|
98% |
2126
169.1 IPS |
|
|
Object Detection (Q)
|
90% |
4075
325.8 IPS |
|
|
Face Detection (SP)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
5933
70.5 IPS |
|
|
Face Detection (Q)
|
100% |
9080
107.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4621
35.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
7639
59.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10384
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10564
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16687
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28638
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1899
70.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3180
117.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6507
241.0 IPS |
|
|
Text Classification (SP)
|
71% |
1099
1.59 KIPS |
|
|
Text Classification (HP)
|
71% |
1297
1.88 KIPS |
|
|
Text Classification (Q)
|
92% |
1338
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2041
35.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2026
34.9 IPS |
