iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3068
Single Precision Score
14146
Half Precision Score
13896
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | natkat |
| Upload Date | February 05 2026 09:57 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1306
242.9 IPS |
|
|
Image Classification (HP)
|
100% |
5877
1.09 KIPS |
|
|
Image Classification (Q)
|
96% |
5586
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8786
142.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9025
146.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6008
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
65730
76.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
63847
74.8 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.2 IPS |
|
|
Object Detection (HP)
|
99% |
6552
521.2 IPS |
|
|
Object Detection (Q)
|
91% |
6120
489.0 IPS |
|
|
Face Detection (SP)
|
100% |
2960
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
12519
148.8 IPS |
|
|
Face Detection (Q)
|
100% |
11779
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5460
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
42377
326.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
42239
330.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16507
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
118882
152.8 IPS |
|
|
Style Transfer (Q)
|
96% |
111049
143.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3448
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23341
861.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23207
856.9 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3947
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3997
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2660
46.0 IPS |
