iPad Pro (11-inch, 4th generation)
Geekbench AI Score
2353
Single Precision Score
12162
Half Precision Score
12833
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Petenka315 |
| Upload Date | August 19 2024 02:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1252
232.9 IPS |
|
|
Image Classification (HP)
|
100% |
7210
1.34 KIPS |
|
|
Image Classification (Q)
|
99% |
7659
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5001
81.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5022
81.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6008
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
87832
102.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
86248
101.2 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.6 IPS |
|
|
Object Detection (HP)
|
99% |
8406
668.7 IPS |
|
|
Object Detection (Q)
|
93% |
8708
694.9 IPS |
|
|
Face Detection (SP)
|
100% |
2469
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
11317
134.5 IPS |
|
|
Face Detection (Q)
|
100% |
13129
156.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4143
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48213
371.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
51238
396.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11081
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
137966
177.4 IPS |
|
|
Style Transfer (Q)
|
100% |
138148
177.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3159
116.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18933
699.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24110
893.3 IPS |
|
|
Text Classification (SP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2333
40.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2353
40.7 IPS |
