iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3253
Single Precision Score
16884
Half Precision Score
20065
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 02:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 15.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
100% |
9050
1.68 KIPS |
|
|
Image Classification (Q)
|
96% |
9660
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13093
212.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18613
301.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6437
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
68917
80.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
73041
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
1437
114.0 IPS |
|
|
Object Detection (HP)
|
99% |
7142
568.1 IPS |
|
|
Object Detection (Q)
|
91% |
9640
770.3 IPS |
|
|
Face Detection (SP)
|
100% |
2804
33.3 IPS |
|
|
Face Detection (HP)
|
100% |
16649
197.8 IPS |
|
|
Face Detection (Q)
|
100% |
25992
308.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5317
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51133
393.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
63014
492.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17661
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
131462
169.0 IPS |
|
|
Style Transfer (Q)
|
96% |
129218
166.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3968
146.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24513
905.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30862
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3879
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3441
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3023
52.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3298
57.0 IPS |
