iPad16,6
Geekbench AI Score
8897
Single Precision Score
10403
Half Precision Score
7794
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 16 2024 06:45 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4513
839.4 IPS |
|
|
Image Classification (HP)
|
100% |
4861
904.1 IPS |
|
|
Image Classification (Q)
|
99% |
4508
840.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4859
78.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6707
108.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
6637
107.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28215
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30041
35.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
27616
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
4779
379.1 IPS |
|
|
Object Detection (HP)
|
100% |
5215
413.6 IPS |
|
|
Object Detection (Q)
|
91% |
4139
330.7 IPS |
|
|
Face Detection (SP)
|
100% |
12791
152.0 IPS |
|
|
Face Detection (HP)
|
100% |
16295
193.6 IPS |
|
|
Face Detection (Q)
|
100% |
11648
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20423
157.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22547
173.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
3453
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57633
74.1 IPS |
|
|
Style Transfer (HP)
|
100% |
68034
87.5 IPS |
|
|
Style Transfer (Q)
|
100% |
67493
86.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11869
438.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12677
468.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9818
363.7 IPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5509
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5392
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1666
28.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1684
29.1 IPS |
