iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3068
Single Precision Score
14909
Half Precision Score
14300
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 01:30 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
6523
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
6114
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8922
144.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9185
148.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5966
6.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
68631
80.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65064
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
1375
109.1 IPS |
|
|
Object Detection (HP)
|
99% |
7328
582.9 IPS |
|
|
Object Detection (Q)
|
91% |
6829
545.6 IPS |
|
|
Face Detection (SP)
|
100% |
2859
34.0 IPS |
|
|
Face Detection (HP)
|
100% |
14321
170.2 IPS |
|
|
Face Detection (Q)
|
100% |
13233
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5415
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
40750
314.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
39502
308.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16016
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
110418
141.9 IPS |
|
|
Style Transfer (Q)
|
96% |
96730
124.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3400
125.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23638
872.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23902
882.6 IPS |
|
|
Text Classification (SP)
|
100% |
2478
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
4386
5.85 KIPS |
|
|
Text Classification (Q)
|
93% |
4360
5.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2517
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2775
47.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2721
47.0 IPS |
