iPad Pro (12.9-inch 2nd Generation)
Geekbench AI Score
478
Single Precision Score
435
Half Precision Score
286
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 08:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A10X Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.10 |
| Model | iPad Pro (12.9-inch 2nd Generation) |
| Model ID | iPad7,1 |
| Motherboard | J120AP |
| CPU Information | |
|---|---|
| Name | Apple A10X Fusion |
| Topology | 1 Processor, 3 Cores |
| Identifier | ARM |
| Base Frequency | 2.34 GHz |
| Cluster 1 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 3.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
250
46.5 IPS |
|
|
Image Classification (HP)
|
100% |
220
40.8 IPS |
|
|
Image Classification (Q)
|
96% |
117
21.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
158
2.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
1542
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1387
1.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
1036
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (Q)
|
92% |
131
10.4 IPS |
|
|
Face Detection (SP)
|
100% |
532
6.32 IPS |
|
|
Face Detection (HP)
|
100% |
524
6.23 IPS |
|
|
Face Detection (Q)
|
100% |
210
2.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
690
5.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
633
4.88 IPS |
|
|
Depth Estimation (Q)
|
86% |
404
3.16 IPS |
|
|
Style Transfer (SP)
|
100% |
2212
2.84 IPS |
|
|
Style Transfer (HP)
|
100% |
2199
2.83 IPS |
|
|
Style Transfer (Q)
|
96% |
1620
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
647
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
289
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
164
218.8 IPS |
|
|
Text Classification (HP)
|
100% |
136
181.1 IPS |
|
|
Text Classification (Q)
|
93% |
135
181.3 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (HP)
|
100% |
273
4.70 IPS |
|
|
Machine Translation (Q)
|
98% |
274
4.74 IPS |
