iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3409
Single Precision Score
5927
Half Precision Score
5181
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | kister2099 |
| Upload Date | August 23 2024 02:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1362
253.2 IPS |
|
|
Image Classification (HP)
|
100% |
2503
465.5 IPS |
|
|
Image Classification (Q)
|
99% |
2500
466.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1497
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2427
39.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2431
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6727
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
14681
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12553
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1526
121.0 IPS |
|
|
Object Detection (HP)
|
97% |
2865
228.1 IPS |
|
|
Object Detection (Q)
|
94% |
2063
164.5 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6091
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3509
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5629
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11602
89.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
11606
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18605
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28364
36.5 IPS |
|
|
Style Transfer (Q)
|
100% |
28383
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4034
149.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4806
177.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3522
130.5 IPS |
|
|
Text Classification (SP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3637
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3635
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3572
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5983
103.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5988
103.5 IPS |
