iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3212
Single Precision Score
15747
Half Precision Score
15363
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | hrdc0r3 |
| Upload Date | November 04 2025 12:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
6364
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5842
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1369
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9727
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10074
163.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6493
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
68949
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66311
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
99% |
7220
574.3 IPS |
|
|
Object Detection (Q)
|
91% |
6752
539.5 IPS |
|
|
Face Detection (SP)
|
100% |
3027
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16392
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
15265
181.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
47306
364.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
47534
371.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16973
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120111
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
112248
144.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3683
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23108
853.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23673
874.2 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3977
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3953
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2512
43.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3556
61.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3647
63.0 IPS |
