iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3225
Single Precision Score
5303
Half Precision Score
4376
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | SyameimaruKoa |
| Upload Date | December 06 2024 05:00 PM |
| Views | 12 |
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 | iPad13,4 |
| 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
2172
403.8 IPS |
|
|
Image Classification (Q)
|
96% |
1559
291.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2203
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2590
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6559
7.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
13949
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12044
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2445
194.7 IPS |
|
|
Object Detection (Q)
|
94% |
1800
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
3057
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5594
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3223
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5775
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11079
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7650
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17211
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26336
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22034
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4438
163.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3418
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
2261
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3823
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3788
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3895
67.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4187
72.4 IPS |
