iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4254
Single Precision Score
28724
Half Precision Score
41471
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 22 2025 05:44 PM |
| Views | 5 |
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% |
1935
359.9 IPS |
|
|
Image Classification (HP)
|
100% |
15028
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
21667
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17692
286.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
26697
432.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6823
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
107257
125.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
191928
225.0 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
100% |
14626
1.16 KIPS |
|
|
Object Detection (Q)
|
91% |
22190
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
25630
304.5 IPS |
|
|
Face Detection (Q)
|
100% |
39421
468.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7495
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
81677
629.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
144244
1.13 KIPS |
|
|
Style Transfer (SP)
|
100% |
18459
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
169501
217.9 IPS |
|
|
Style Transfer (Q)
|
96% |
200660
258.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52970
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82969
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3054
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4075
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4281
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4413
76.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11972
206.2 IPS |
|
|
Machine Translation (Q)
|
98% |
15072
260.5 IPS |
