iPad Pro (12.9-inch 2nd Generation)
Geekbench AI Score
487
Single Precision Score
448
Half Precision Score
293
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | hectorSF |
| Upload Date | January 06 2026 07:00 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A10X Fusion |
| System Information | |
|---|---|
| Operating System | iOS 17.7.10 |
| Model | iPad Pro (12.9-inch 2nd Generation) |
| Model ID | iPad7,2 |
| Motherboard | J121AP |
| 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% |
251
46.7 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.2 IPS |
|
|
Image Classification (Q)
|
96% |
117
21.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
158
2.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
1543
1.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
1515
1.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
1063
1.25 IPS |
|
|
Object Detection (SP)
|
100% |
279
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (Q)
|
92% |
137
10.9 IPS |
|
|
Face Detection (SP)
|
100% |
539
6.41 IPS |
|
|
Face Detection (HP)
|
100% |
530
6.29 IPS |
|
|
Face Detection (Q)
|
100% |
211
2.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
692
5.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
627
4.83 IPS |
|
|
Depth Estimation (Q)
|
86% |
404
3.16 IPS |
|
|
Style Transfer (SP)
|
100% |
2233
2.87 IPS |
|
|
Style Transfer (HP)
|
100% |
2219
2.85 IPS |
|
|
Style Transfer (Q)
|
96% |
1645
2.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
654
24.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
311
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
175
234.2 IPS |
|
|
Text Classification (HP)
|
100% |
144
192.3 IPS |
|
|
Text Classification (Q)
|
93% |
143
192.5 IPS |
|
|
Machine Translation (SP)
|
100% |
361
6.21 IPS |
|
|
Machine Translation (HP)
|
100% |
288
4.96 IPS |
|
|
Machine Translation (Q)
|
98% |
286
4.95 IPS |
