iPad Pro (12.9-inch 3rd Generation)
Geekbench AI Score
1061
Single Precision Score
1638
Half Precision Score
1415
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 31 2026 04:20 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| Model | iPad Pro (12.9-inch 3rd Generation) |
| Model ID | iPad8,7 |
| Motherboard | J321AP |
| 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% |
497
92.4 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (Q)
|
96% |
641
119.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2506
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2308
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
2028
2.38 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.4 IPS |
|
|
Object Detection (HP)
|
99% |
947
75.1 IPS |
|
|
Object Detection (Q)
|
92% |
760
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2336
27.8 IPS |
|
|
Face Detection (Q)
|
100% |
1496
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1726
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2700
20.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
2249
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4725
6.07 IPS |
|
|
Style Transfer (HP)
|
100% |
7893
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7088
9.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1238
45.7 IPS |
|
|
Text Classification (SP)
|
99% |
466
621.5 IPS |
|
|
Text Classification (HP)
|
99% |
862
1.15 KIPS |
|
|
Text Classification (Q)
|
93% |
860
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1269
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1263
21.8 IPS |
