iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1281
Single Precision Score
1590
Half Precision Score
336
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 09 2024 05:39 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
955
177.6 IPS |
|
|
Image Classification (HP)
|
100% |
1304
242.6 IPS |
|
|
Image Classification (Q)
|
96% |
95
17.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
320
5.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
327
5.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
187
3.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
3179
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1733
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (HP)
|
100% |
1337
106.1 IPS |
|
|
Object Detection (Q)
|
92% |
118
9.38 IPS |
|
|
Face Detection (SP)
|
100% |
3735
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
4272
50.8 IPS |
|
|
Face Detection (Q)
|
100% |
220
2.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
3179
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4792
36.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
457
3.57 IPS |
|
|
Style Transfer (SP)
|
100% |
8812
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10721
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
2422
3.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2271
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
261
9.63 IPS |
|
|
Text Classification (SP)
|
100% |
227
302.9 IPS |
|
|
Text Classification (HP)
|
100% |
274
365.5 IPS |
|
|
Text Classification (Q)
|
93% |
279
374.3 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
289
4.97 IPS |
|
|
Machine Translation (Q)
|
98% |
285
4.93 IPS |
