iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4489
Single Precision Score
7247
Half Precision Score
5936
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | i_am_taikun |
| Upload Date | February 04 2026 01:11 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1971
366.6 IPS |
|
|
Image Classification (HP)
|
100% |
3194
594.0 IPS |
|
|
Image Classification (Q)
|
96% |
2182
407.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2354
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2887
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9100
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17302
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15280
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2368
187.9 IPS |
|
|
Object Detection (HP)
|
97% |
3661
291.4 IPS |
|
|
Object Detection (Q)
|
94% |
2606
207.7 IPS |
|
|
Face Detection (SP)
|
100% |
3919
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
6959
82.7 IPS |
|
|
Face Detection (Q)
|
100% |
4193
49.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7876
60.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13138
101.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9447
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19738
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35761
46.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29566
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5088
187.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6310
233.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4615
170.4 IPS |
|
|
Text Classification (SP)
|
100% |
3215
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5408
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5464
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4478
77.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7524
130.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7336
126.8 IPS |
