iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3463
Single Precision Score
5963
Half Precision Score
4837
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 09:12 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
2527
469.9 IPS |
|
|
Image Classification (Q)
|
96% |
1770
330.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1529
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2504
40.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2815
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6869
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
15024
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13022
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2867
228.3 IPS |
|
|
Object Detection (Q)
|
94% |
2073
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6231
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3544
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5701
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11646
90.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8056
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18834
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28538
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23738
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4048
149.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3595
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
2198
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3654
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3753
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3606
62.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5752
99.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5712
98.7 IPS |
