Dell Inc. Precision T1700
Geekbench AI Score
1568
Single Precision Score
796
Half Precision Score
1807
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | almaspite |
| Upload Date | January 16 2026 10:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1241 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Dell Inc. Precision T1700 |
| Motherboard | Dell Inc. 0JVY7H |
| Power Plan | Maximlis teljestmny |
| 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% |
1234
229.4 IPS |
|
|
Image Classification (HP)
|
100% |
311
57.8 IPS |
|
|
Image Classification (Q)
|
96% |
1300
242.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (Q)
|
97% |
1609
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2527
2.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2035
2.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
2819
3.33 IPS |
|
|
Object Detection (SP)
|
100% |
1110
88.0 IPS |
|
|
Object Detection (HP)
|
100% |
393
31.2 IPS |
|
|
Object Detection (Q)
|
58% |
940
102.7 IPS |
|
|
Face Detection (SP)
|
100% |
1890
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
783
9.30 IPS |
|
|
Face Detection (Q)
|
96% |
2874
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3000
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1137
8.76 IPS |
|
|
Depth Estimation (Q)
|
78% |
3201
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5828
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
4724
6.07 IPS |
|
|
Style Transfer (Q)
|
87% |
5488
7.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
926
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1477
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
1073
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
532
710.5 IPS |
|
|
Text Classification (Q)
|
97% |
746
999.7 IPS |
|
|
Machine Translation (SP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
439
7.56 IPS |
|
|
Machine Translation (Q)
|
68% |
1206
23.3 IPS |
