iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3313
Single Precision Score
26529
Half Precision Score
29158
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | semperfidelis316 |
| Upload Date | March 18 2026 03:09 AM |
| Views | 7 |
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% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
14365
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15453
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19849
321.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23885
387.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6317
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
101749
118.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104994
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1428
113.3 IPS |
|
|
Object Detection (HP)
|
99% |
15336
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
16716
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34231
406.7 IPS |
|
|
Face Detection (Q)
|
100% |
43392
515.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5358
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
84057
647.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
102362
799.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18129
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
204078
262.3 IPS |
|
|
Style Transfer (Q)
|
96% |
195648
252.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38842
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44546
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
2350
3.14 KIPS |
|
|
Text Classification (HP)
|
99% |
3951
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3932
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3622
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4307
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4506
77.9 IPS |
