iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5284
Single Precision Score
6206
Half Precision Score
5748
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Jolo |
| Upload Date | February 14 2026 07:40 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1887
350.8 IPS |
|
|
Image Classification (HP)
|
100% |
2258
419.8 IPS |
|
|
Image Classification (Q)
|
94% |
2040
381.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4042
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4239
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4078
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16777
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18842
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18130
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2704
214.5 IPS |
|
|
Object Detection (HP)
|
100% |
2712
215.1 IPS |
|
|
Object Detection (Q)
|
91% |
2568
205.2 IPS |
|
|
Face Detection (SP)
|
100% |
7082
84.1 IPS |
|
|
Face Detection (HP)
|
100% |
8921
106.0 IPS |
|
|
Face Detection (Q)
|
100% |
8038
95.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12344
95.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13739
105.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12956
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29345
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34794
44.7 IPS |
|
|
Style Transfer (Q)
|
96% |
34212
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6351
234.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7150
264.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5885
217.3 IPS |
|
|
Text Classification (SP)
|
100% |
2389
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4189
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4180
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1358
23.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1160
20.1 IPS |
