iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3103
Single Precision Score
5534
Half Precision Score
4861
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Jloloew |
| Upload Date | August 16 2024 01:20 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 15.31 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1248
232.1 IPS |
|
|
Image Classification (HP)
|
100% |
2299
427.5 IPS |
|
|
Image Classification (Q)
|
99% |
2310
430.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1305
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2283
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6228
7.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
14020
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12019
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1353
107.3 IPS |
|
|
Object Detection (HP)
|
97% |
2609
207.7 IPS |
|
|
Object Detection (Q)
|
94% |
1966
156.7 IPS |
|
|
Face Detection (SP)
|
100% |
2761
32.8 IPS |
|
|
Face Detection (HP)
|
100% |
5492
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3233
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5200
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10661
82.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
10685
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16170
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26666
34.3 IPS |
|
|
Style Transfer (Q)
|
100% |
26657
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3747
138.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4642
171.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3353
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3752
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3736
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3104
53.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5225
90.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5127
88.6 IPS |
