iPad Pro (11-inch)
Geekbench AI Score
710
Single Precision Score
2455
Half Precision Score
446
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 11:55 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,1 |
| Motherboard | J317AP |
| 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% |
341
63.5 IPS |
|
|
Image Classification (HP)
|
100% |
2460
457.6 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2179
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
27379
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1504
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.5 IPS |
|
|
Object Detection (HP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (Q)
|
94% |
203
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
869
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
6739
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1062
8.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
22027
169.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
605
4.73 IPS |
|
|
Style Transfer (SP)
|
100% |
3458
4.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3386
4.35 IPS |
|
|
Style Transfer (Q)
|
96% |
2523
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
968
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3640
134.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
496
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
260
347.5 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.9 IPS |
|
|
Text Classification (Q)
|
93% |
300
402.9 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.57 IPS |
