iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3195
Single Precision Score
15368
Half Precision Score
15074
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 04:51 PM |
| Views | 3 |
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% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
6170
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5872
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1372
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9740
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10041
162.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6510
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
66673
77.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65628
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1487
118.0 IPS |
|
|
Object Detection (HP)
|
99% |
7179
571.1 IPS |
|
|
Object Detection (Q)
|
91% |
6578
525.6 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16481
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
15195
180.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5766
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47151
363.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
47200
368.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17005
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
119815
154.0 IPS |
|
|
Style Transfer (Q)
|
96% |
113027
145.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3720
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22885
845.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23965
884.9 IPS |
|
|
Text Classification (SP)
|
100% |
2220
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3727
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3651
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3218
55.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3357
58.0 IPS |
