iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3227
Single Precision Score
5306
Half Precision Score
4377
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 05:47 AM |
| Views | 1 |
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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
257.0 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.6 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2194
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2593
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6538
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13969
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12052
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.2 IPS |
|
|
Object Detection (HP)
|
97% |
2444
194.6 IPS |
|
|
Object Detection (Q)
|
94% |
1797
143.2 IPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5586
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3218
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5827
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11066
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7673
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17185
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26413
34.0 IPS |
|
|
Style Transfer (Q)
|
96% |
22074
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4433
163.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3408
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3809
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3786
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3932
67.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4194
72.5 IPS |
