iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3220
Single Precision Score
5272
Half Precision Score
4336
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | EdwinValdezEXD |
| Upload Date | December 04 2024 03:26 PM |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2180
405.5 IPS |
|
|
Image Classification (Q)
|
96% |
1541
287.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2218
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2567
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6531
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13845
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11925
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2428
193.3 IPS |
|
|
Object Detection (Q)
|
94% |
1786
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5528
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3192
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5771
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11022
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7619
59.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17216
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26220
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21984
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3739
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4351
160.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3353
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
2242
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3711
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3966
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4198
72.5 IPS |
