iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3439
Single Precision Score
26533
Half Precision Score
29284
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | tylerstartz |
| Upload Date | April 11 2025 02:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (HP)
|
100% |
14626
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15126
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1465
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19575
317.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23916
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6802
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
103500
120.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
104582
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
99% |
15583
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17249
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3115
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
33148
393.9 IPS |
|
|
Face Detection (Q)
|
100% |
41974
498.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5612
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
85462
658.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
107559
840.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18645
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202335
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
194719
251.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4047
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39226
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46919
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3887
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3878
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3707
63.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4286
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4444
76.8 IPS |
