iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3226
Single Precision Score
5313
Half Precision Score
4388
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 07:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
2179
405.3 IPS |
|
|
Image Classification (Q)
|
96% |
1559
291.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2202
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2591
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6528
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13914
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12051
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2446
194.7 IPS |
|
|
Object Detection (Q)
|
94% |
1804
143.8 IPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5606
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
3219
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5801
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11085
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7656
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17148
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26359
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22054
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3753
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4446
164.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3411
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3853
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3852
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3912
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4221
72.9 IPS |
