iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3448
Single Precision Score
27205
Half Precision Score
30314
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 05 2025 01:32 PM |
| 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% |
1367
254.2 IPS |
|
|
Image Classification (HP)
|
100% |
14452
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
16587
3.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1505
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19346
313.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23945
388.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6800
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
107393
125.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106068
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
16387
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
18364
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
34314
407.7 IPS |
|
|
Face Detection (Q)
|
100% |
43902
521.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5532
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
89615
690.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
110924
866.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18431
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
203865
262.1 IPS |
|
|
Style Transfer (Q)
|
96% |
194926
251.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4059
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43951
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52112
1.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2319
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3911
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3845
66.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4182
72.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4379
75.7 IPS |
