iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3310
Single Precision Score
26261
Half Precision Score
29315
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | DizzyFop |
| Upload Date | September 17 2025 04:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
14414
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
15275
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19791
320.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24105
390.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6324
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
101295
118.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106304
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1426
113.1 IPS |
|
|
Object Detection (HP)
|
99% |
15720
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17587
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
33826
401.9 IPS |
|
|
Face Detection (Q)
|
100% |
42556
505.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5470
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
84860
653.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108618
848.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18108
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204748
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
196026
253.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36708
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45234
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3795
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3780
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3610
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4195
72.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4395
75.9 IPS |
