iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3203
Single Precision Score
5305
Half Precision Score
4368
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 07 2024 11:54 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
2173
404.1 IPS |
|
|
Image Classification (Q)
|
96% |
1547
289.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2558
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6351
7.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
13709
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11881
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2421
192.7 IPS |
|
|
Object Detection (Q)
|
94% |
1785
142.2 IPS |
|
|
Face Detection (SP)
|
100% |
3016
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5540
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3189
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5827
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11055
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7655
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17105
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26329
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22025
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4618
170.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3364
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3993
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3972
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2465
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3896
67.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4202
72.6 IPS |
