iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3288
Single Precision Score
26503
Half Precision Score
29044
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | fatcatmac |
| Upload Date | March 26 2026 03:12 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1286
239.1 IPS |
|
|
Image Classification (HP)
|
100% |
14608
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15440
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19835
321.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24193
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6333
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
100796
117.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
106078
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
1410
111.8 IPS |
|
|
Object Detection (HP)
|
99% |
15711
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17157
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
34248
406.9 IPS |
|
|
Face Detection (Q)
|
100% |
43488
516.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5350
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
85364
657.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
106992
836.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18111
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204993
263.5 IPS |
|
|
Style Transfer (Q)
|
96% |
188398
243.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3696
136.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37817
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42418
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3868
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3611
62.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4420
76.4 IPS |
