iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4475
Single Precision Score
28563
Half Precision Score
40218
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | i_am_taikun |
| Upload Date | February 05 2026 07:08 AM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1995
371.1 IPS |
|
|
Image Classification (HP)
|
100% |
12340
2.29 KIPS |
|
|
Image Classification (Q)
|
97% |
20734
3.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1832
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
17370
281.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25126
407.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8534
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
115482
134.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
207838
243.6 IPS |
|
|
Object Detection (SP)
|
100% |
2388
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
14980
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
21156
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
25935
308.2 IPS |
|
|
Face Detection (Q)
|
100% |
35245
418.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7934
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
80857
623.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
129139
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
19521
25.1 IPS |
|
|
Style Transfer (HP)
|
100% |
159908
205.6 IPS |
|
|
Style Transfer (Q)
|
96% |
191430
247.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5142
189.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51842
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80868
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3078
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4991
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4546
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
4491
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11237
193.6 IPS |
|
|
Machine Translation (Q)
|
98% |
15093
260.8 IPS |
