iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3438
Single Precision Score
6036
Half Precision Score
4887
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:49 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1378
256.2 IPS |
|
|
Image Classification (HP)
|
100% |
2465
458.5 IPS |
|
|
Image Classification (Q)
|
96% |
1724
321.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2737
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6792
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
15042
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12865
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
97% |
2821
224.6 IPS |
|
|
Object Detection (Q)
|
94% |
2041
162.7 IPS |
|
|
Face Detection (SP)
|
100% |
3077
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6036
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3479
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5560
42.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10927
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7701
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18636
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29326
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23976
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4024
148.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5030
185.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3737
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3847
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3793
65.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6908
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6795
117.4 IPS |
