iPad16,5
Geekbench AI Score
8851
Single Precision Score
10544
Half Precision Score
9331
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Psycleracer |
| Upload Date | November 06 2024 09:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4229
786.5 IPS |
|
|
Image Classification (HP)
|
100% |
4532
842.8 IPS |
|
|
Image Classification (Q)
|
97% |
4109
766.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4871
79.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6624
107.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7191
116.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28169
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
29897
34.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
28488
33.4 IPS |
|
|
Object Detection (SP)
|
100% |
4757
377.3 IPS |
|
|
Object Detection (HP)
|
100% |
5215
413.7 IPS |
|
|
Object Detection (Q)
|
91% |
4436
354.5 IPS |
|
|
Face Detection (SP)
|
100% |
12885
153.1 IPS |
|
|
Face Detection (HP)
|
100% |
16391
194.8 IPS |
|
|
Face Detection (Q)
|
100% |
11989
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
20634
159.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22216
171.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
18966
148.3 IPS |
|
|
Style Transfer (SP)
|
100% |
57685
74.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67792
87.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63827
82.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11830
436.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12584
464.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10281
379.6 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5583
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5456
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1975
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2094
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1647
28.5 IPS |
