iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4890
Single Precision Score
29841
Half Precision Score
40367
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 02:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2175
404.5 IPS |
|
|
Image Classification (HP)
|
100% |
13102
2.44 KIPS |
|
|
Image Classification (Q)
|
97% |
20925
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1791
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
17779
288.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24640
399.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9647
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
116900
136.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
203548
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
2540
201.5 IPS |
|
|
Object Detection (HP)
|
100% |
13485
1.07 KIPS |
|
|
Object Detection (Q)
|
91% |
21173
1.69 KIPS |
|
|
Face Detection (SP)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
27316
324.6 IPS |
|
|
Face Detection (Q)
|
100% |
31395
373.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8831
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87412
673.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
121443
949.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25418
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
184135
236.7 IPS |
|
|
Style Transfer (Q)
|
96% |
210284
271.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5306
195.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55398
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87638
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3232
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
5342
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5036
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4908
84.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11721
201.9 IPS |
|
|
Machine Translation (Q)
|
98% |
14615
252.6 IPS |
