iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3451
Single Precision Score
26374
Half Precision Score
29105
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jankkhvej |
| Upload Date | May 12 2025 08:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
14630
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
15145
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19328
313.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24014
389.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6798
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
105387
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104797
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
99% |
15016
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17532
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
32977
391.8 IPS |
|
|
Face Detection (Q)
|
100% |
41368
491.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5563
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
84481
650.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
105506
824.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18578
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
200019
257.1 IPS |
|
|
Style Transfer (Q)
|
96% |
194137
250.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4101
151.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39808
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45878
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3837
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
3694
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4213
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4377
75.6 IPS |
