Dell Inc. Precision 3630 Tower
Geekbench AI Score
2772
Single Precision Score
2806
Half Precision Score
2037
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 07 2026 03:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro P1000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision 3630 Tower |
| Motherboard | Dell Inc. 0NNNCT |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8700 |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
564
104.9 IPS |
|
|
Image Classification (HP)
|
100% |
1023
190.2 IPS |
|
|
Image Classification (Q)
|
99% |
530
98.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1761
28.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1450
23.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14998
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8985
10.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12359
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
833
66.1 IPS |
|
|
Object Detection (HP)
|
100% |
1342
106.5 IPS |
|
|
Object Detection (Q)
|
83% |
758
61.2 IPS |
|
|
Face Detection (SP)
|
100% |
1645
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
2507
29.8 IPS |
|
|
Face Detection (Q)
|
97% |
1484
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5461
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5111
39.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
4437
35.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26318
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16358
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20990
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4807
177.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3969
146.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3273
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
927
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
502
672.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2053
35.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1846
31.9 IPS |
|
|
Machine Translation (Q)
|
70% |
753
14.1 IPS |
