iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3493
Single Precision Score
6009
Half Precision Score
4850
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ramphex |
| Upload Date | November 12 2024 07:25 AM |
| Views | 6 |
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% |
1385
257.6 IPS |
|
|
Image Classification (HP)
|
100% |
2518
468.3 IPS |
|
|
Image Classification (Q)
|
96% |
1757
328.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2838
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6918
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
14905
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12850
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2895
230.5 IPS |
|
|
Object Detection (Q)
|
94% |
2090
166.6 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6222
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3581
42.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5710
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11615
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8032
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19031
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29008
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23930
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4151
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4896
180.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3583
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
2202
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3711
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5845
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5882
101.7 IPS |
