iPad Pro 11-inch (2nd generation)
Geekbench AI Score
714
Single Precision Score
2528
Half Precision Score
453
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | archiarch |
| Upload Date | January 08 2026 01:07 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
337
62.7 IPS |
|
|
Image Classification (HP)
|
100% |
2650
492.9 IPS |
|
|
Image Classification (Q)
|
99% |
182
33.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
2208
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
27410
32.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
1535
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.8 IPS |
|
|
Object Detection (HP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (Q)
|
94% |
216
17.2 IPS |
|
|
Face Detection (SP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
6698
79.6 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1066
8.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
23141
178.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
607
4.74 IPS |
|
|
Style Transfer (SP)
|
100% |
3429
4.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3397
4.37 IPS |
|
|
Style Transfer (Q)
|
96% |
2512
3.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3733
137.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
507
18.7 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.2 IPS |
|
|
Text Classification (HP)
|
100% |
312
416.5 IPS |
|
|
Text Classification (Q)
|
93% |
310
415.7 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
98% |
378
6.53 IPS |
