iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1301
Single Precision Score
1595
Half Precision Score
426
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 09 2024 05:10 PM |
| Views | 2 |
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% |
994
184.9 IPS |
|
|
Image Classification (HP)
|
100% |
1137
211.4 IPS |
|
|
Image Classification (Q)
|
96% |
156
29.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
369
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.22 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1846
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
1038
82.4 IPS |
|
|
Object Detection (HP)
|
100% |
1365
108.3 IPS |
|
|
Object Detection (Q)
|
92% |
186
14.9 IPS |
|
|
Face Detection (SP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
4331
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
298
3.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
3153
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4720
36.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
559
4.37 IPS |
|
|
Style Transfer (SP)
|
100% |
8846
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10679
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
3092
3.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2289
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
406
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
220
293.8 IPS |
|
|
Text Classification (HP)
|
100% |
272
363.2 IPS |
|
|
Text Classification (Q)
|
93% |
273
366.2 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.54 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
98% |
286
4.95 IPS |
