iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3463
Single Precision Score
20975
Half Precision Score
22822
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jaw3000 |
| Upload Date | August 15 2024 05:22 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1379
256.4 IPS |
|
|
Image Classification (HP)
|
100% |
14446
2.69 KIPS |
|
|
Image Classification (Q)
|
99% |
14783
2.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1499
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9005
146.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
9074
147.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6874
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
101214
118.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
101175
118.7 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
99% |
14500
1.15 KIPS |
|
|
Object Detection (Q)
|
91% |
16610
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
21715
258.0 IPS |
|
|
Face Detection (Q)
|
100% |
33673
400.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5638
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
72737
560.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
81830
632.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18768
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
154223
198.3 IPS |
|
|
Style Transfer (Q)
|
100% |
154618
198.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4110
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37870
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
44608
1.65 KIPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3817
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3749
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3650
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2452
42.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2387
41.3 IPS |
