Dell Inc. Latitude E6430
Geekbench AI Score
427
Single Precision Score
276
Half Precision Score
342
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 10 2024 08:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-3210M |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Dell Inc. Latitude E6430 |
| Motherboard | Dell Inc. 0CPWYR |
| CPU Information | |
|---|---|
| Name | Intel Core i5-3210M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (HP)
|
100% |
134
25.0 IPS |
|
|
Image Classification (Q)
|
96% |
255
47.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
237
3.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
185
3.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
245
3.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
543
0.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
438
0.51 IPS |
|
|
Pose Estimation (Q)
|
87% |
530
0.63 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
150
11.9 IPS |
|
|
Object Detection (Q)
|
90% |
224
17.9 IPS |
|
|
Face Detection (SP)
|
100% |
620
7.36 IPS |
|
|
Face Detection (HP)
|
100% |
365
4.34 IPS |
|
|
Face Detection (Q)
|
96% |
563
6.71 IPS |
|
|
Depth Estimation (SP)
|
100% |
681
5.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
402
3.10 IPS |
|
|
Depth Estimation (Q)
|
78% |
468
3.74 IPS |
|
|
Style Transfer (SP)
|
100% |
1360
1.75 IPS |
|
|
Style Transfer (HP)
|
100% |
1096
1.41 IPS |
|
|
Style Transfer (Q)
|
87% |
1212
1.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
301
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
247
9.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
297
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
321
429.0 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.7 IPS |
|
|
Text Classification (Q)
|
97% |
153
204.9 IPS |
|
|
Machine Translation (SP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.51 IPS |
|
|
Machine Translation (Q)
|
60% |
208
4.64 IPS |
