iPad Pro (11-inch)
Geekbench AI Score
708
Single Precision Score
2359
Half Precision Score
434
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TILR |
| Upload Date | September 25 2025 06:58 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12X Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad Pro (11-inch) |
| Model ID | iPad8,3 |
| Motherboard | J318AP |
| 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% |
332
61.8 IPS |
|
|
Image Classification (HP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (Q)
|
99% |
156
29.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2199
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
27279
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1523
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (Q)
|
94% |
195
15.6 IPS |
|
|
Face Detection (SP)
|
100% |
854
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6522
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1045
8.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
23216
178.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
597
4.66 IPS |
|
|
Style Transfer (SP)
|
100% |
3558
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3525
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2539
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
946
34.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3267
120.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
464
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.1 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.6 IPS |
|
|
Text Classification (Q)
|
93% |
294
394.3 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (Q)
|
98% |
373
6.45 IPS |
