Dell Inc. OptiPlex 7760 AIO
Geekbench AI Score
1659
Single Precision Score
855
Half Precision Score
2921
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 21 2025 12:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-8700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. OptiPlex 7760 AIO |
| Motherboard | Dell Inc. 0TWFTR |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
886
164.8 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.8 IPS |
|
|
Image Classification (Q)
|
96% |
2590
483.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (Q)
|
97% |
2427
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2235
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2823
3.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
6845
8.09 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
58% |
1822
199.0 IPS |
|
|
Face Detection (SP)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
688
8.17 IPS |
|
|
Face Detection (Q)
|
96% |
4049
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3888
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1160
8.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
5217
41.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7492
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
6880
8.84 IPS |
|
|
Style Transfer (Q)
|
87% |
7336
9.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1290
47.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1261
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2637
97.7 IPS |
|
|
Text Classification (SP)
|
100% |
1222
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
616
822.3 IPS |
|
|
Text Classification (Q)
|
97% |
963
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
449
7.74 IPS |
|
|
Machine Translation (Q)
|
68% |
1468
28.4 IPS |
