iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3418
Single Precision Score
26092
Half Precision Score
28975
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mariusfanu |
| Upload Date | April 19 2025 01:07 PM |
| Views | 2 |
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% |
1374
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
14393
2.68 KIPS |
|
|
Image Classification (Q)
|
96% |
14765
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19340
313.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23974
388.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6795
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
102043
119.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104642
122.6 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
15001
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17519
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
32877
390.6 IPS |
|
|
Face Detection (Q)
|
100% |
41422
492.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5575
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84454
650.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
105541
824.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18602
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202829
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
194875
251.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3944
145.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38126
1.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45817
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3772
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3721
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3680
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4238
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4426
76.5 IPS |
