iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3305
Single Precision Score
26439
Half Precision Score
29233
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tulliok |
| Upload Date | March 07 2026 12:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1289
239.7 IPS |
|
|
Image Classification (HP)
|
100% |
14670
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
15501
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19745
320.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24030
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6361
7.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
101085
117.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
104843
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1429
113.4 IPS |
|
|
Object Detection (HP)
|
99% |
15555
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17314
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3051
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
34162
405.9 IPS |
|
|
Face Detection (Q)
|
100% |
43496
516.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5387
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86606
667.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
108689
849.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18096
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205350
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
194106
250.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3742
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36828
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43330
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3797
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3785
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3624
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4314
74.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4479
77.4 IPS |
