Dell Inc. Precision T1700
Geekbench AI Score
2041
Single Precision Score
2049
Half Precision Score
2263
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | almaspite |
| Upload Date | January 16 2026 10:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E3-1241 v3 @ 3.50GHz |
| 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% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
1256
233.7 IPS |
|
|
Image Classification (Q)
|
100% |
1472
273.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1177
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1216
19.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1648
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2504
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2494
2.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
3163
3.71 IPS |
|
|
Object Detection (SP)
|
100% |
1251
99.2 IPS |
|
|
Object Detection (HP)
|
100% |
1245
98.7 IPS |
|
|
Object Detection (Q)
|
87% |
1461
117.2 IPS |
|
|
Face Detection (SP)
|
100% |
2337
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2328
27.7 IPS |
|
|
Face Detection (Q)
|
97% |
3994
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3177
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3223
24.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
3808
30.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7855
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7764
9.98 IPS |
|
|
Style Transfer (Q)
|
98% |
9077
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1611
59.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1588
58.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1892
70.1 IPS |
|
|
Text Classification (SP)
|
100% |
1548
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1588
2.12 KIPS |
|
|
Text Classification (Q)
|
91% |
650
873.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1856
32.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1874
32.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1857
32.0 IPS |
