iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1350
Single Precision Score
1660
Half Precision Score
443
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | archiarch |
| Upload Date | January 08 2026 01:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| 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% |
998
185.5 IPS |
|
|
Image Classification (HP)
|
100% |
1181
219.6 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
3181
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4592
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1810
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
983
78.0 IPS |
|
|
Object Detection (HP)
|
100% |
1299
103.0 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3642
43.3 IPS |
|
|
Face Detection (HP)
|
100% |
4262
50.6 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3182
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4748
36.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
555
4.33 IPS |
|
|
Style Transfer (SP)
|
100% |
8865
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10718
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
2978
3.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2254
83.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
223
297.2 IPS |
|
|
Text Classification (HP)
|
100% |
267
355.9 IPS |
|
|
Text Classification (Q)
|
93% |
268
359.0 IPS |
|
|
Machine Translation (SP)
|
100% |
508
8.76 IPS |
|
|
Machine Translation (HP)
|
100% |
462
7.96 IPS |
|
|
Machine Translation (Q)
|
98% |
491
8.48 IPS |
