iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3300
Single Precision Score
26368
Half Precision Score
29028
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | yvectorfield |
| Upload Date | March 12 2026 09:13 AM |
| 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 | iPad14,4 |
| Motherboard | J618AP |
| 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% |
1298
241.4 IPS |
|
|
Image Classification (HP)
|
100% |
14790
2.75 KIPS |
|
|
Image Classification (Q)
|
96% |
14940
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19594
317.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24137
391.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6325
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
105908
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
105643
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
99% |
15419
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
16685
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
34024
404.3 IPS |
|
|
Face Detection (Q)
|
100% |
42733
507.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5403
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86731
668.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
102829
803.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18172
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
203727
261.9 IPS |
|
|
Style Transfer (Q)
|
96% |
195427
252.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3705
136.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36896
1.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48630
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3804
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3733
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3607
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4070
70.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4287
74.1 IPS |
