iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3482
Single Precision Score
5979
Half Precision Score
4852
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | IAMTESTING |
| Upload Date | January 11 2025 03:03 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.3 IPS |
|
|
Image Classification (Q)
|
96% |
1783
332.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2546
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2875
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6882
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14748
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12666
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2927
233.0 IPS |
|
|
Object Detection (Q)
|
94% |
2121
169.1 IPS |
|
|
Face Detection (SP)
|
100% |
3187
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6274
74.5 IPS |
|
|
Face Detection (Q)
|
100% |
3591
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5727
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11650
90.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8079
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18868
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28452
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23847
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4053
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4776
176.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3587
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3699
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3698
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3569
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5700
98.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5731
99.0 IPS |
