iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2857
Single Precision Score
4342
Half Precision Score
3734
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 11 2024 03:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
1700
316.1 IPS |
|
|
Image Classification (Q)
|
96% |
1288
240.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1175
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1169
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1686
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5852
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13498
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11672
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
1981
157.7 IPS |
|
|
Object Detection (Q)
|
94% |
1536
122.5 IPS |
|
|
Face Detection (SP)
|
100% |
2416
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4120
49.0 IPS |
|
|
Face Detection (Q)
|
100% |
2677
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5232
40.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8190
63.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6189
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15977
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24943
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20935
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3390
125.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4551
168.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3399
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3800
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3737
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1810
31.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3081
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3079
53.2 IPS |
