iPad Pro (11-inch 3rd generation)
Geekbench AI Score
2851
Single Precision Score
4315
Half Precision Score
3726
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Netsat |
| Upload Date | September 06 2024 07:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1316
244.8 IPS |
|
|
Image Classification (HP)
|
100% |
1692
314.7 IPS |
|
|
Image Classification (Q)
|
96% |
1288
240.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1182
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1171
19.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1687
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5873
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
13492
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11656
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1399
110.9 IPS |
|
|
Object Detection (HP)
|
97% |
1975
157.3 IPS |
|
|
Object Detection (Q)
|
94% |
1532
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4106
48.8 IPS |
|
|
Face Detection (Q)
|
100% |
2658
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5218
40.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8171
63.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6150
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15992
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24904
32.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20927
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3399
125.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4376
161.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3413
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3708
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3076
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3074
53.1 IPS |
