iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3208
Single Precision Score
5272
Half Precision Score
4355
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 15 2024 12:51 AM |
| 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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2164
402.4 IPS |
|
|
Image Classification (Q)
|
96% |
1545
288.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2193
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2575
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6476
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
13779
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11933
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2423
192.9 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5511
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
3181
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5733
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10951
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7565
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17047
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26088
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21869
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3724
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4340
160.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3342
123.4 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3946
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3881
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4190
72.4 IPS |
