iPad Pro 11-inch (2nd generation)
Geekbench AI Score
714
Single Precision Score
2447
Half Precision Score
446
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 12:40 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
336
62.5 IPS |
|
|
Image Classification (HP)
|
100% |
2226
414.0 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2232
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27329
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1541
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (Q)
|
94% |
203
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6539
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1055
8.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
23140
178.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
603
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
3569
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3540
4.55 IPS |
|
|
Style Transfer (Q)
|
96% |
2544
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3656
135.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
496
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
264
352.4 IPS |
|
|
Text Classification (HP)
|
100% |
305
406.6 IPS |
|
|
Text Classification (Q)
|
93% |
302
405.5 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (Q)
|
98% |
382
6.61 IPS |
