iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2601
Single Precision Score
2982
Half Precision Score
2877
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ebarrera |
| Upload Date | October 17 2025 07:20 PM |
| Views | 9 |
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 | iPad13,6 |
| Motherboard | J518AP |
| 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% |
2285
425.0 IPS |
|
|
Image Classification (HP)
|
100% |
2345
436.1 IPS |
|
|
Image Classification (Q)
|
96% |
2639
492.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4010
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4469
72.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4133
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17011
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18077
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18775
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2553
202.5 IPS |
|
|
Object Detection (HP)
|
100% |
2705
214.6 IPS |
|
|
Object Detection (Q)
|
92% |
2450
195.6 IPS |
|
|
Face Detection (SP)
|
100% |
6508
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
7953
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
7117
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12135
93.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13923
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
12691
99.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28776
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35297
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
34643
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6376
235.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7301
269.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5833
215.4 IPS |
|
|
Text Classification (SP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
3809
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4246
5.70 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
8.40 IPS |
|
|
Machine Translation (HP)
|
0% |
0
9.15 IPS |
|
|
Machine Translation (Q)
|
0% |
0
7.94 IPS |
