iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5168
Single Precision Score
5988
Half Precision Score
5570
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 30 2025 09:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2132
396.5 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.6 IPS |
|
|
Image Classification (Q)
|
96% |
2132
398.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4012
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4281
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4110
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16927
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18953
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18218
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
2677
212.4 IPS |
|
|
Object Detection (Q)
|
92% |
2438
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
6764
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8500
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
7087
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12437
95.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13889
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
12675
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28839
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35107
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33434
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6306
232.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7131
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5895
217.7 IPS |
|
|
Text Classification (SP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (HP)
|
99% |
4173
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4164
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1003
17.3 IPS |
