iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3474
Single Precision Score
25920
Half Precision Score
28598
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 23 2024 11:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
14569
2.71 KIPS |
|
|
Image Classification (Q)
|
96% |
14846
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1551
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19154
310.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23994
389.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6874
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
102824
120.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104891
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
99% |
15350
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17092
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3183
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
32434
385.4 IPS |
|
|
Face Detection (Q)
|
100% |
41522
493.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5685
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
84317
649.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
105769
826.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18880
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
201953
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
186896
241.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4034
149.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38592
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46397
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3651
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3955
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4122
71.2 IPS |
