iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3313
Single Precision Score
26559
Half Precision Score
29031
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 08:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
14598
2.71 KIPS |
|
|
Image Classification (Q)
|
96% |
15454
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1446
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19642
318.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24217
392.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6355
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
105668
123.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106865
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
1423
112.9 IPS |
|
|
Object Detection (HP)
|
99% |
15644
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17297
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
34185
406.2 IPS |
|
|
Face Detection (Q)
|
100% |
43207
513.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5419
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
88052
678.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
102506
801.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18127
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205291
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
194425
250.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3703
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36592
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41952
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3883
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3863
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
3617
62.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4197
72.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4405
76.1 IPS |
