iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3236
Single Precision Score
5403
Half Precision Score
4401
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 07 2024 10:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
1387
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
2198
408.8 IPS |
|
|
Image Classification (Q)
|
96% |
1557
290.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2579
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6550
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
12992
15.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11997
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
97% |
2433
193.7 IPS |
|
|
Object Detection (Q)
|
94% |
1794
143.0 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5578
66.3 IPS |
|
|
Face Detection (Q)
|
100% |
3224
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5783
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11049
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7661
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17352
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26680
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
22106
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3823
141.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4651
171.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3413
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
2109
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4055
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4014
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2595
44.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4298
74.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4218
72.9 IPS |
