iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3452
Single Precision Score
5933
Half Precision Score
4802
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | February 04 2025 11:53 AM |
| Views | 3 |
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% |
1385
257.5 IPS |
|
|
Image Classification (HP)
|
100% |
2512
467.2 IPS |
|
|
Image Classification (Q)
|
96% |
1756
327.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1523
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2825
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6864
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14696
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12532
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2856
227.4 IPS |
|
|
Object Detection (Q)
|
94% |
2072
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3151
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6165
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
3552
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5674
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11571
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7971
62.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18907
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28956
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23656
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4033
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4718
174.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3541
130.8 IPS |
|
|
Text Classification (SP)
|
100% |
2212
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3714
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3728
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5683
98.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5726
98.9 IPS |
