iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5206
Single Precision Score
6020
Half Precision Score
5647
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 04:15 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2331
433.5 IPS |
|
|
Image Classification (HP)
|
100% |
2215
411.9 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4010
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4275
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4122
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16980
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19160
22.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
18393
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.1 IPS |
|
|
Object Detection (HP)
|
100% |
2647
210.0 IPS |
|
|
Object Detection (Q)
|
92% |
2466
196.8 IPS |
|
|
Face Detection (SP)
|
100% |
6872
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
8670
103.0 IPS |
|
|
Face Detection (Q)
|
100% |
7074
84.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12324
94.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13933
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
12754
99.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28898
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35716
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
34258
44.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6228
230.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7156
264.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5930
219.0 IPS |
|
|
Text Classification (SP)
|
100% |
2379
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4183
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4237
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1001
17.3 IPS |
