iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3307
Single Precision Score
5419
Half Precision Score
5504
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | billpugh |
| Upload Date | November 04 2025 03:01 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1766
328.4 IPS |
|
|
Image Classification (HP)
|
100% |
2508
466.4 IPS |
|
|
Image Classification (Q)
|
97% |
4473
834.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6339
102.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7708
125.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10779
174.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24335
28.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
58207
67.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
70247
82.3 IPS |
|
|
Object Detection (SP)
|
100% |
3328
264.0 IPS |
|
|
Object Detection (HP)
|
100% |
4066
322.5 IPS |
|
|
Object Detection (Q)
|
93% |
3602
287.3 IPS |
|
|
Face Detection (SP)
|
100% |
10941
130.0 IPS |
|
|
Face Detection (HP)
|
100% |
17854
212.1 IPS |
|
|
Face Detection (Q)
|
100% |
12983
154.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16219
125.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
29175
224.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
29198
228.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44166
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
90587
116.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114515
147.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6968
257.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18008
665.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9005
332.5 IPS |
|
|
Text Classification (SP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5618
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5351
7.18 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
14.1 IPS |
|
|
Machine Translation (HP)
|
0% |
0
22.1 IPS |
|
|
Machine Translation (Q)
|
0% |
0
17.2 IPS |
