iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3309
Single Precision Score
26658
Half Precision Score
28895
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 30 2025 05:55 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
14956
2.78 KIPS |
|
|
Image Classification (Q)
|
96% |
15316
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19838
321.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24179
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6310
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
102479
119.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105275
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
99% |
15714
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
16864
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
34160
405.9 IPS |
|
|
Face Detection (Q)
|
100% |
42911
509.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5459
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87631
675.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
102837
803.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18115
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205219
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
188876
243.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3719
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37821
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43842
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3801
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3792
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3606
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4454
77.0 IPS |
