iPad Pro (11-inch 3rd generation)
Geekbench AI Score
4843
Single Precision Score
5674
Half Precision Score
5008
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | carefree_boy |
| Upload Date | November 26 2024 04:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1865
346.9 IPS |
|
|
Image Classification (HP)
|
100% |
2137
397.4 IPS |
|
|
Image Classification (Q)
|
97% |
1883
351.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2691
43.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3629
58.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3679
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16860
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18312
21.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17036
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
2720
215.8 IPS |
|
|
Object Detection (HP)
|
100% |
2735
216.9 IPS |
|
|
Object Detection (Q)
|
91% |
2201
175.9 IPS |
|
|
Face Detection (SP)
|
100% |
6802
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
8358
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
5877
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12184
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13784
106.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
11295
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29064
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33870
43.5 IPS |
|
|
Style Transfer (Q)
|
96% |
32329
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6463
238.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7130
263.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5410
199.8 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3831
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3834
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
859
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
859
14.8 IPS |
