iPad Pro (11-inch)
Geekbench AI Score
1245
Single Precision Score
1531
Half Precision Score
430
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TILR |
| Upload Date | September 25 2025 06:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
873
162.3 IPS |
|
|
Image Classification (HP)
|
100% |
1197
222.7 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
219
3.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
2809
3.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
3988
4.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
1701
1.99 IPS |
|
|
Object Detection (SP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (HP)
|
100% |
1220
96.8 IPS |
|
|
Object Detection (Q)
|
92% |
176
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
3411
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
3900
46.3 IPS |
|
|
Face Detection (Q)
|
100% |
293
3.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
2841
21.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4097
31.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
533
4.16 IPS |
|
|
Style Transfer (SP)
|
100% |
7894
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9612
12.4 IPS |
|
|
Style Transfer (Q)
|
96% |
2978
3.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
391
14.4 IPS |
|
|
Text Classification (SP)
|
100% |
203
271.2 IPS |
|
|
Text Classification (HP)
|
100% |
248
331.6 IPS |
|
|
Text Classification (Q)
|
93% |
248
332.6 IPS |
|
|
Machine Translation (SP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.23 IPS |
|
|
Machine Translation (Q)
|
98% |
480
8.30 IPS |
