iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3088
Single Precision Score
14187
Half Precision Score
13826
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 08:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
5772
1.07 KIPS |
|
|
Image Classification (Q)
|
96% |
5613
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8845
143.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9041
146.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6023
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
67039
78.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
64564
75.7 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
99% |
6302
501.3 IPS |
|
|
Object Detection (Q)
|
91% |
6003
479.7 IPS |
|
|
Face Detection (SP)
|
100% |
2978
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
12345
146.7 IPS |
|
|
Face Detection (Q)
|
100% |
11440
135.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5438
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
45521
350.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
42545
332.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16526
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120510
154.9 IPS |
|
|
Style Transfer (Q)
|
96% |
111834
144.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3491
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22793
841.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22963
847.9 IPS |
|
|
Text Classification (SP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4148
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4120
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2392
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2521
43.6 IPS |
