iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3456
Single Precision Score
5959
Half Precision Score
4803
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 24 2024 09:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
2519
468.4 IPS |
|
|
Image Classification (Q)
|
96% |
1745
325.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1519
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2451
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2828
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6879
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14806
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12736
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
97% |
2898
230.7 IPS |
|
|
Object Detection (Q)
|
94% |
2079
165.7 IPS |
|
|
Face Detection (SP)
|
100% |
3158
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6192
73.6 IPS |
|
|
Face Detection (Q)
|
100% |
3551
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5676
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11588
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7958
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18881
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28864
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23726
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4034
148.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4805
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3579
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3776
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3678
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3527
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5681
98.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5675
98.1 IPS |
