iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3237
Single Precision Score
16179
Half Precision Score
15898
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SyameimaruKoa |
| Upload Date | December 06 2024 05:06 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
5954
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5671
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1438
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9742
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10025
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6545
7.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
66721
77.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65984
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7220
574.4 IPS |
|
|
Object Detection (Q)
|
91% |
6709
536.1 IPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
16451
195.5 IPS |
|
|
Face Detection (Q)
|
100% |
15253
181.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5789
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47246
364.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
47666
372.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17169
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
120115
154.4 IPS |
|
|
Style Transfer (Q)
|
96% |
112270
144.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23389
863.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23805
879.0 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3820
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3809
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5273
90.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5538
95.7 IPS |
