S iPad Pro iPad Pro 11-inch (2nd generation)
Geekbench AI Score
714
Single Precision Score
2424
Half Precision Score
448
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ERTIS |
| Upload Date | March 18 2025 12:39 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
2212
411.3 IPS |
|
|
Image Classification (Q)
|
99% |
173
32.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2221
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
27305
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1534
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1386
109.9 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6404
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1050
8.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
22530
173.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
604
4.72 IPS |
|
|
Style Transfer (SP)
|
100% |
3554
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3513
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
2536
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
966
35.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3611
133.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
493
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
262
350.3 IPS |
|
|
Text Classification (HP)
|
100% |
301
401.8 IPS |
|
|
Text Classification (Q)
|
93% |
312
418.5 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
98% |
378
6.53 IPS |
