iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3223
Single Precision Score
16229
Half Precision Score
15923
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 04:52 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1381
256.8 IPS |
|
|
Image Classification (HP)
|
100% |
6219
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5848
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9727
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10095
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6529
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
66271
77.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66072
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
99% |
7190
572.0 IPS |
|
|
Object Detection (Q)
|
91% |
6659
532.1 IPS |
|
|
Face Detection (SP)
|
100% |
3048
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
16379
194.6 IPS |
|
|
Face Detection (Q)
|
100% |
15161
180.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5812
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47223
363.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47178
368.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17156
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119712
153.9 IPS |
|
|
Style Transfer (Q)
|
96% |
111589
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3744
138.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23039
850.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23557
869.8 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3823
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3821
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5394
92.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5616
97.1 IPS |
