iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1289
Single Precision Score
1595
Half Precision Score
419
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 29 2025 11:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1022
190.0 IPS |
|
|
Image Classification (HP)
|
100% |
1262
234.8 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
350
5.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
3180
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4620
5.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
1827
2.14 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
1336
106.0 IPS |
|
|
Object Detection (Q)
|
92% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3633
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
4182
49.7 IPS |
|
|
Face Detection (Q)
|
100% |
303
3.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
3148
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4744
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.30 IPS |
|
|
Style Transfer (SP)
|
100% |
8862
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10705
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3028
3.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2245
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
217
289.1 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.5 IPS |
|
|
Text Classification (Q)
|
93% |
262
352.0 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.95 IPS |
|
|
Machine Translation (Q)
|
98% |
286
4.95 IPS |
