iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3206
Single Precision Score
5255
Half Precision Score
4371
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Wwessex |
| Upload Date | October 08 2024 11:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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 | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1372
255.1 IPS |
|
|
Image Classification (HP)
|
100% |
2112
392.8 IPS |
|
|
Image Classification (Q)
|
96% |
1525
284.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1335
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2585
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13947
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12053
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
97% |
2388
190.1 IPS |
|
|
Object Detection (Q)
|
94% |
1773
141.3 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5571
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3208
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5786
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10924
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7604
59.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17194
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26319
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22090
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4448
164.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3406
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3950
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3932
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3909
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4195
72.5 IPS |
