iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3473
Single Precision Score
5953
Half Precision Score
4820
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | dm_zharov |
| Upload Date | October 04 2024 09:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1399
260.2 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.3 IPS |
|
|
Image Classification (Q)
|
96% |
1771
330.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2462
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2853
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6887
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14916
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12724
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2869
228.4 IPS |
|
|
Object Detection (Q)
|
94% |
2082
166.0 IPS |
|
|
Face Detection (SP)
|
100% |
3166
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6216
73.9 IPS |
|
|
Face Detection (Q)
|
100% |
3545
42.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5670
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11621
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7978
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18843
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28524
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23758
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4158
153.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4813
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3613
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
2203
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3647
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3567
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5711
98.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5716
98.8 IPS |
