iPad16,5
Geekbench AI Score
8044
Single Precision Score
9030
Half Precision Score
2906
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | September 08 2024 10:58 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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% |
4281
796.2 IPS |
|
|
Image Classification (HP)
|
100% |
4534
843.2 IPS |
|
|
Image Classification (Q)
|
97% |
3450
643.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4830
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6530
105.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6920
112.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
28334
33.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30210
35.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
27894
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
4553
361.1 IPS |
|
|
Object Detection (HP)
|
100% |
4997
396.4 IPS |
|
|
Object Detection (Q)
|
92% |
3943
314.8 IPS |
|
|
Face Detection (SP)
|
100% |
12055
143.2 IPS |
|
|
Face Detection (HP)
|
100% |
15164
180.2 IPS |
|
|
Face Detection (Q)
|
100% |
10950
130.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19961
153.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
22278
171.6 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
140.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57904
74.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67184
86.4 IPS |
|
|
Style Transfer (Q)
|
96% |
63270
81.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11479
423.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12489
461.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9970
368.1 IPS |
|
|
Text Classification (SP)
|
100% |
1613
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (Q)
|
93% |
1283
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1848
31.9 IPS |
