iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
4840
Single Precision Score
5705
Half Precision Score
4234
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | roobarb! |
| Upload Date | August 15 2024 10:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
2056
382.4 IPS |
|
|
Image Classification (Q)
|
99% |
1966
366.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2681
43.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
3588
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16799
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18395
21.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
16386
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2732
216.7 IPS |
|
|
Object Detection (HP)
|
100% |
2729
216.5 IPS |
|
|
Object Detection (Q)
|
91% |
2142
171.2 IPS |
|
|
Face Detection (SP)
|
100% |
6700
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
8312
98.8 IPS |
|
|
Face Detection (Q)
|
100% |
5847
69.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12277
94.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13842
106.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
1929
14.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28178
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
34623
44.5 IPS |
|
|
Style Transfer (Q)
|
100% |
35050
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6419
237.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7172
264.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5281
195.6 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3944
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
917
15.8 IPS |
