iPad Pro (11-inch)
Geekbench AI Score
718
Single Precision Score
2428
Half Precision Score
446
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 07:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,3 |
| Motherboard | J318AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
338
62.9 IPS |
|
|
Image Classification (HP)
|
100% |
2206
410.3 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (Q)
|
99% |
228
3.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
2229
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27267
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1538
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
6425
76.3 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1061
8.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
22683
174.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
605
4.73 IPS |
|
|
Style Transfer (SP)
|
100% |
3553
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3486
4.48 IPS |
|
|
Style Transfer (Q)
|
96% |
2505
3.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3627
133.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
496
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.5 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.0 IPS |
|
|
Text Classification (Q)
|
93% |
303
406.1 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (Q)
|
98% |
381
6.58 IPS |
