iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3089
Single Precision Score
14364
Half Precision Score
13904
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | March 08 2026 05:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
6225
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5581
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9009
146.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9062
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6014
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
65667
76.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
64155
75.2 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
99% |
6504
517.4 IPS |
|
|
Object Detection (Q)
|
91% |
6126
489.5 IPS |
|
|
Face Detection (SP)
|
100% |
2997
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
12624
150.0 IPS |
|
|
Face Detection (Q)
|
100% |
11763
139.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5467
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41757
321.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
42427
331.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16503
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119028
153.0 IPS |
|
|
Style Transfer (Q)
|
96% |
110695
142.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3458
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23196
856.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22735
839.5 IPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4180
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4155
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2566
44.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2605
45.0 IPS |
