iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3208
Single Precision Score
15396
Half Precision Score
15055
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 04:01 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
6084
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5801
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1370
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9723
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10006
162.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6526
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
67823
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
65801
77.1 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
99% |
7195
572.3 IPS |
|
|
Object Detection (Q)
|
91% |
6503
519.6 IPS |
|
|
Face Detection (SP)
|
100% |
3013
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16444
195.4 IPS |
|
|
Face Detection (Q)
|
100% |
15416
183.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5775
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47216
363.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
46798
365.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17286
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120685
155.1 IPS |
|
|
Style Transfer (Q)
|
96% |
112962
145.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22825
842.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23624
872.3 IPS |
|
|
Text Classification (SP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3799
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3724
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3192
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3360
58.1 IPS |
