iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3318
Single Precision Score
26532
Half Precision Score
29015
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 26 2026 09:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
14438
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
15324
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19651
318.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24184
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6310
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
101196
118.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105107
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.6 IPS |
|
|
Object Detection (HP)
|
99% |
15615
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17139
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3089
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
34200
406.4 IPS |
|
|
Face Detection (Q)
|
100% |
43035
511.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5406
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
87025
670.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
102578
801.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18107
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
202875
260.8 IPS |
|
|
Style Transfer (Q)
|
96% |
195617
252.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3714
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38675
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42328
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3869
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3870
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4269
73.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4479
77.4 IPS |
