iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3084
Single Precision Score
5404
Half Precision Score
4447
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dirkjumpertz |
| Upload Date | November 05 2025 02:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,5 |
| Motherboard | J517xAP |
| 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 | 15.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1309
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.4 IPS |
|
|
Image Classification (Q)
|
96% |
1577
294.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1310
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2527
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6003
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14086
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12116
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1379
109.4 IPS |
|
|
Object Detection (HP)
|
97% |
2410
191.8 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5435
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3168
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5487
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10362
80.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7354
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16376
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26184
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21810
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3453
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4602
169.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2410
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4190
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4222
5.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2466
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4690
81.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4667
80.7 IPS |
