Dell Inc. OptiPlex SFF Plus 7010
Geekbench AI Score
4550
Single Precision Score
1328
Half Precision Score
5515
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | buggshash |
| Upload Date | December 13 2024 08:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900 |
| 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% |
4105
763.5 IPS |
|
|
Image Classification (HP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (Q)
|
99% |
6537
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1971
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
897
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3383
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10484
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4204
4.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
30431
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
3556
282.1 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
6079
488.6 IPS |
|
|
Face Detection (SP)
|
100% |
6529
77.6 IPS |
|
|
Face Detection (HP)
|
100% |
1221
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
8644
103.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10040
77.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1442
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16460
131.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19773
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9887
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
15869
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4120
152.6 IPS |
|
|
Text Classification (SP)
|
100% |
1397
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
748
997.8 IPS |
|
|
Text Classification (Q)
|
97% |
325
435.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1721
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.17 IPS |
|
|
Machine Translation (Q)
|
65% |
2106
42.3 IPS |
