iPad Pro 13” 2024 iPad16,6
Geekbench AI Score
4432
Single Precision Score
6338
Half Precision Score
5288
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | gundar |
| Upload Date | August 15 2024 10:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1887
350.9 IPS |
|
|
Image Classification (HP)
|
100% |
2590
481.7 IPS |
|
|
Image Classification (Q)
|
99% |
2598
484.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1805
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9711
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18047
21.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16032
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (HP)
|
97% |
3073
244.7 IPS |
|
|
Object Detection (Q)
|
94% |
2353
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3626
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
5925
70.4 IPS |
|
|
Face Detection (Q)
|
100% |
3831
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7657
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11380
87.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
5903
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24103
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35602
45.8 IPS |
|
|
Style Transfer (Q)
|
100% |
35717
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5731
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6779
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4773
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
3097
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4824
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4848
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3518
60.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5166
89.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5174
89.4 IPS |
