iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1015
Single Precision Score
1581
Half Precision Score
1360
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 07:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,5 |
| Motherboard | J320AP |
| CPU Information | |
|---|---|
| Name | Apple A12X Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.66 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
499
92.9 IPS |
|
|
Image Classification (HP)
|
100% |
819
152.4 IPS |
|
|
Image Classification (Q)
|
96% |
652
121.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
996
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2555
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2292
2.67 IPS |
|
|
Pose Estimation (Q)
|
96% |
2036
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
520
41.2 IPS |
|
|
Object Detection (HP)
|
99% |
955
75.7 IPS |
|
|
Object Detection (Q)
|
92% |
774
61.8 IPS |
|
|
Face Detection (SP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (Q)
|
100% |
1527
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1742
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2711
21.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
2258
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5141
6.61 IPS |
|
|
Style Transfer (HP)
|
100% |
7982
10.3 IPS |
|
|
Style Transfer (Q)
|
96% |
7144
9.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1245
46.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1534
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1225
45.2 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.6 IPS |
|
|
Text Classification (HP)
|
99% |
550
733.5 IPS |
|
|
Text Classification (Q)
|
93% |
547
734.5 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1248
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1252
21.6 IPS |
