iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3233
Single Precision Score
5304
Half Precision Score
4384
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 11:08 PM |
| Views | 1 |
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 | iPad13,4 |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.0 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.8 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2595
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6542
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13881
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11991
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
97% |
2440
194.3 IPS |
|
|
Object Detection (Q)
|
94% |
1801
143.5 IPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5586
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3226
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5752
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11032
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7647
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17225
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26285
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22056
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4364
161.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3355
123.9 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3908
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4223
73.0 IPS |
