iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5160
Single Precision Score
5907
Half Precision Score
5491
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | natkat |
| Upload Date | February 05 2026 09:55 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
2249
418.3 IPS |
|
|
Image Classification (HP)
|
100% |
2176
404.8 IPS |
|
|
Image Classification (Q)
|
96% |
2013
375.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3996
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4228
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4065
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16911
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18886
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18052
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.5 IPS |
|
|
Object Detection (HP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (Q)
|
92% |
2389
190.7 IPS |
|
|
Face Detection (SP)
|
100% |
6841
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
8442
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
7064
83.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12364
95.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13850
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12873
100.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28737
36.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35162
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33742
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6287
232.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6959
256.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5873
216.9 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3997
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3957
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
942
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
991
17.1 IPS |
