iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
4900
Single Precision Score
5712
Half Precision Score
5007
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 01:01 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
2098
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (Q)
|
97% |
1863
347.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2690
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3638
59.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3686
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16973
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18293
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17073
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2777
220.2 IPS |
|
|
Object Detection (HP)
|
100% |
2757
218.7 IPS |
|
|
Object Detection (Q)
|
91% |
2208
176.4 IPS |
|
|
Face Detection (SP)
|
100% |
6858
81.5 IPS |
|
|
Face Detection (HP)
|
100% |
8574
101.9 IPS |
|
|
Face Detection (Q)
|
100% |
5839
69.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12234
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13718
105.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
11441
89.4 IPS |
|
|
Style Transfer (SP)
|
100% |
28458
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34291
44.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31832
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6393
236.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7147
263.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5485
202.5 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3981
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3924
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
853
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
836
14.4 IPS |
