Dell Inc. OptiPlex SFF Plus 7010
Geekbench AI Score
1761
Single Precision Score
1802
Half Precision Score
1187
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | buggshash |
| Upload Date | December 13 2024 08:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Dell Inc. OptiPlex SFF Plus 7010 |
| Motherboard | Dell Inc. 0YGWFV |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900 |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
772
143.6 IPS |
|
|
Image Classification (HP)
|
100% |
818
152.2 IPS |
|
|
Image Classification (Q)
|
100% |
673
125.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1051
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1191
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
809
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5244
6.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
5975
6.97 IPS |
|
|
Pose Estimation (Q)
|
96% |
3595
4.21 IPS |
|
|
Object Detection (SP)
|
100% |
862
68.3 IPS |
|
|
Object Detection (HP)
|
98% |
717
57.0 IPS |
|
|
Object Detection (Q)
|
86% |
708
56.9 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
1856
22.1 IPS |
|
|
Face Detection (Q)
|
97% |
1225
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3178
24.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3607
27.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2374
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11282
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
15422
19.8 IPS |
|
|
Style Transfer (Q)
|
98% |
8381
10.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1847
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2749
101.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
968
35.8 IPS |
|
|
Text Classification (SP)
|
100% |
948
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
449
599.4 IPS |
|
|
Text Classification (Q)
|
97% |
464
621.3 IPS |
|
|
Machine Translation (SP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (HP)
|
100% |
682
11.8 IPS |
|
|
Machine Translation (Q)
|
70% |
367
6.88 IPS |
