Dell Inc. Precision T1700
Geekbench AI Score
1311
Single Precision Score
447
Half Precision Score
1289
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | StripeyMiata |
| Upload Date | August 16 2024 09:06 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1241 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Dell Inc. Precision T1700 |
| Motherboard | Dell Inc. 048DY8 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1241 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
914
170.0 IPS |
|
|
Image Classification (HP)
|
100% |
99
18.4 IPS |
|
|
Image Classification (Q)
|
97% |
912
170.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
936
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2644
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2176
2.54 IPS |
|
|
Pose Estimation (Q)
|
87% |
2912
3.44 IPS |
|
|
Object Detection (SP)
|
100% |
877
69.6 IPS |
|
|
Object Detection (HP)
|
100% |
141
11.2 IPS |
|
|
Object Detection (Q)
|
86% |
789
63.4 IPS |
|
|
Face Detection (SP)
|
100% |
1129
13.4 IPS |
|
|
Face Detection (HP)
|
100% |
200
2.38 IPS |
|
|
Face Detection (Q)
|
96% |
1720
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2782
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
604
4.65 IPS |
|
|
Depth Estimation (Q)
|
76% |
2448
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5992
7.70 IPS |
|
|
Style Transfer (HP)
|
100% |
4894
6.29 IPS |
|
|
Style Transfer (Q)
|
87% |
5594
7.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1130
41.9 IPS |
|
|
Text Classification (SP)
|
100% |
880
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
304
406.0 IPS |
|
|
Text Classification (Q)
|
97% |
266
355.9 IPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
60% |
912
20.3 IPS |
