iPad Pro (11-inch)
Geekbench AI Score
711
Single Precision Score
2362
Half Precision Score
438
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 10:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,1 |
| Motherboard | J317AP |
| 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 | 3.70 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
333
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
2110
392.3 IPS |
|
|
Image Classification (Q)
|
99% |
163
30.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
2178
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
27300
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1508
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
1361
108.0 IPS |
|
|
Object Detection (Q)
|
94% |
194
15.5 IPS |
|
|
Face Detection (SP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6453
76.7 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1051
8.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
23197
178.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
605
4.73 IPS |
|
|
Style Transfer (SP)
|
100% |
3545
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3414
4.39 IPS |
|
|
Style Transfer (Q)
|
96% |
2420
3.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
956
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3255
120.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
472
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.1 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.6 IPS |
|
|
Text Classification (Q)
|
93% |
305
408.9 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.57 IPS |
