iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3226
Single Precision Score
14393
Half Precision Score
14050
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 05:41 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
6284
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5882
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6643
107.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6776
109.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6545
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
66786
77.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65655
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (HP)
|
99% |
7216
574.1 IPS |
|
|
Object Detection (Q)
|
91% |
6677
533.5 IPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
16120
191.5 IPS |
|
|
Face Detection (Q)
|
100% |
15030
178.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5677
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47219
363.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
47825
373.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17200
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
119972
154.2 IPS |
|
|
Style Transfer (Q)
|
96% |
111907
144.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3755
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23072
851.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23907
882.8 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3839
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3823
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2484
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2345
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2335
40.4 IPS |
