iPad Pro (11-inch 3rd generation)
Geekbench AI Score
7065
Single Precision Score
10782
Half Precision Score
10720
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 02:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1914
355.9 IPS |
|
|
Image Classification (HP)
|
100% |
2310
429.6 IPS |
|
|
Image Classification (Q)
|
97% |
2557
477.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
7453
120.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9180
148.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
6093
98.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
26231
30.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
64929
75.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
77830
91.2 IPS |
|
|
Object Detection (SP)
|
100% |
2304
182.8 IPS |
|
|
Object Detection (HP)
|
100% |
4325
343.1 IPS |
|
|
Object Detection (Q)
|
93% |
3604
287.5 IPS |
|
|
Face Detection (SP)
|
100% |
10082
119.8 IPS |
|
|
Face Detection (HP)
|
100% |
12301
146.2 IPS |
|
|
Face Detection (Q)
|
100% |
15281
181.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20387
157.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
20682
159.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
20391
159.2 IPS |
|
|
Style Transfer (SP)
|
100% |
56394
72.5 IPS |
|
|
Style Transfer (HP)
|
100% |
113253
145.6 IPS |
|
|
Style Transfer (Q)
|
96% |
140419
181.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5942
219.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10807
399.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7608
280.9 IPS |
|
|
Text Classification (SP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5760
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5768
7.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1622
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1989
34.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2389
41.3 IPS |
