iPad Pro 11-inch (2nd generation)
Geekbench AI Score
706
Single Precision Score
2371
Half Precision Score
430
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 18 2025 02:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
331
61.6 IPS |
|
|
Image Classification (HP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (Q)
|
99% |
165
30.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
383
6.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2184
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
27255
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1519
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (Q)
|
94% |
184
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6486
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1042
8.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
23103
178.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
597
4.67 IPS |
|
|
Style Transfer (SP)
|
100% |
3557
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3518
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
2311
2.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
945
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3274
120.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
463
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
258
343.8 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.3 IPS |
|
|
Text Classification (Q)
|
93% |
293
393.1 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.50 IPS |
|
|
Machine Translation (Q)
|
98% |
374
6.47 IPS |
