Dell Inc. Latitude E6330
Geekbench AI Score
564
Single Precision Score
349
Half Precision Score
494
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| Upload Date | October 17 2025 04:39 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3540M |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Dell Inc. Latitude E6330 |
| Motherboard | Dell Inc. 0YRP01 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3540M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (HP)
|
100% |
178
33.1 IPS |
|
|
Image Classification (Q)
|
96% |
348
65.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
368
5.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
681
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
535
0.62 IPS |
|
|
Pose Estimation (Q)
|
86% |
647
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
100% |
185
14.6 IPS |
|
|
Object Detection (Q)
|
58% |
248
27.1 IPS |
|
|
Face Detection (SP)
|
100% |
980
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
461
5.48 IPS |
|
|
Face Detection (Q)
|
96% |
816
9.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
905
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
495
3.82 IPS |
|
|
Depth Estimation (Q)
|
78% |
768
6.12 IPS |
|
|
Style Transfer (SP)
|
100% |
1677
2.16 IPS |
|
|
Style Transfer (HP)
|
100% |
1349
1.73 IPS |
|
|
Style Transfer (Q)
|
87% |
1497
1.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
364
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
317
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
378
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
394
525.8 IPS |
|
|
Text Classification (HP)
|
100% |
250
334.2 IPS |
|
|
Text Classification (Q)
|
97% |
222
297.4 IPS |
|
|
Machine Translation (SP)
|
100% |
564
9.71 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.76 IPS |
|
|
Machine Translation (Q)
|
68% |
539
10.4 IPS |
