iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3236
Single Precision Score
5328
Half Precision Score
4393
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | carefree_boy |
| Upload Date | November 26 2024 03:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1398
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2184
406.1 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2599
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6555
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
13926
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12049
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (HP)
|
97% |
2445
194.6 IPS |
|
|
Object Detection (Q)
|
94% |
1802
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
3060
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5645
67.1 IPS |
|
|
Face Detection (Q)
|
100% |
3235
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5814
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11054
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7694
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17173
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26409
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22074
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3757
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4518
166.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3404
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3841
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2473
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3917
67.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4210
72.8 IPS |
