iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3457
Single Precision Score
26606
Half Precision Score
28714
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 08:39 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% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
14460
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15303
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19636
318.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24206
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6839
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
100650
117.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105436
123.6 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
99% |
15751
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
16247
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
3114
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
33775
401.3 IPS |
|
|
Face Detection (Q)
|
100% |
42240
501.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5592
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87409
673.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
105605
825.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18698
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205134
263.7 IPS |
|
|
Style Transfer (Q)
|
96% |
188582
243.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3941
145.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39663
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42382
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3867
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3813
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3863
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4252
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4417
76.3 IPS |
