iPad Pro (11-inch, 4th generation)
Geekbench AI Score
2355
Single Precision Score
12158
Half Precision Score
13590
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | September 07 2024 10:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1261
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
7236
1.35 KIPS |
|
|
Image Classification (Q)
|
96% |
7622
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5128
83.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8065
130.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5987
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
86528
101.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
87672
102.8 IPS |
|
|
Object Detection (SP)
|
100% |
1356
107.6 IPS |
|
|
Object Detection (HP)
|
99% |
8339
663.4 IPS |
|
|
Object Detection (Q)
|
93% |
8711
695.0 IPS |
|
|
Face Detection (SP)
|
100% |
2477
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
11412
135.6 IPS |
|
|
Face Detection (Q)
|
100% |
13429
159.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4115
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48542
374.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
57752
451.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11052
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
138164
177.6 IPS |
|
|
Style Transfer (Q)
|
95% |
125123
161.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3152
116.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18997
701.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25100
926.8 IPS |
|
|
Text Classification (SP)
|
100% |
1200
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2258
38.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2361
40.8 IPS |
