iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1029
Single Precision Score
1556
Half Precision Score
1352
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 01:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
499
92.7 IPS |
|
|
Image Classification (HP)
|
100% |
798
148.3 IPS |
|
|
Image Classification (Q)
|
96% |
625
116.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1028
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2614
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2346
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2198
2.57 IPS |
|
|
Object Detection (SP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (HP)
|
99% |
972
77.1 IPS |
|
|
Object Detection (Q)
|
92% |
773
61.7 IPS |
|
|
Face Detection (SP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2330
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1496
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1764
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2666
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2218
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5164
6.64 IPS |
|
|
Style Transfer (HP)
|
100% |
7892
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7085
9.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1246
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1370
50.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1165
43.0 IPS |
|
|
Text Classification (SP)
|
100% |
286
382.2 IPS |
|
|
Text Classification (HP)
|
99% |
552
736.2 IPS |
|
|
Text Classification (Q)
|
93% |
548
736.1 IPS |
|
|
Machine Translation (SP)
|
100% |
729
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1251
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1252
21.6 IPS |
