iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
997
Single Precision Score
1553
Half Precision Score
1345
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MaverickCougar |
| Upload Date | February 19 2025 02:28 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
483
89.9 IPS |
|
|
Image Classification (HP)
|
100% |
794
147.7 IPS |
|
|
Image Classification (Q)
|
96% |
638
119.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1009
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2174
2.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
1996
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
959
76.0 IPS |
|
|
Object Detection (Q)
|
92% |
757
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
1272
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2340
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1488
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1754
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2715
21.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
2228
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4811
6.18 IPS |
|
|
Style Transfer (HP)
|
100% |
7868
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7150
9.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1220
45.0 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.4 IPS |
|
|
Text Classification (HP)
|
99% |
550
734.7 IPS |
|
|
Text Classification (Q)
|
93% |
548
735.9 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1262
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1261
21.8 IPS |
