iPad Pro (11-inch, 4th generation)
Geekbench AI Score
6973
Single Precision Score
7825
Half Precision Score
6845
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 02:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
3666
681.7 IPS |
|
|
Image Classification (HP)
|
100% |
3610
671.4 IPS |
|
|
Image Classification (Q)
|
97% |
2976
555.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4056
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5021
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5079
82.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
24685
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26298
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24474
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3690
292.7 IPS |
|
|
Object Detection (HP)
|
100% |
3697
293.2 IPS |
|
|
Object Detection (Q)
|
91% |
3057
244.3 IPS |
|
|
Face Detection (SP)
|
100% |
10379
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
11952
142.0 IPS |
|
|
Face Detection (Q)
|
100% |
8384
99.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16716
128.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17812
137.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
14630
114.4 IPS |
|
|
Style Transfer (SP)
|
100% |
43117
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48540
62.4 IPS |
|
|
Style Transfer (Q)
|
96% |
45430
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9779
361.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10086
372.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7999
295.4 IPS |
|
|
Text Classification (SP)
|
100% |
2178
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3607
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3544
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1265
21.9 IPS |
