iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
713
Single Precision Score
2457
Half Precision Score
447
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | February 01 2025 07:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro 12.9-inch (4th generation) |
| Model ID | iPad8,11 |
| Motherboard | J420AP |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
331
61.5 IPS |
|
|
Image Classification (HP)
|
100% |
2293
426.5 IPS |
|
|
Image Classification (Q)
|
99% |
174
32.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27519
32.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
1533
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
1438
114.1 IPS |
|
|
Object Detection (Q)
|
94% |
207
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
863
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
6496
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1047
8.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
22993
177.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
600
4.69 IPS |
|
|
Style Transfer (SP)
|
100% |
3557
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3518
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
2537
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
953
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3704
136.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
499
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
273
365.0 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.4 IPS |
|
|
Text Classification (Q)
|
93% |
301
403.8 IPS |
|
|
Machine Translation (SP)
|
100% |
490
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
98% |
377
6.51 IPS |
