iPad16,5
Geekbench AI Score
8862
Single Precision Score
10575
Half Precision Score
9022
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 12:48 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.22 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4488
834.6 IPS |
|
|
Image Classification (HP)
|
100% |
4879
907.3 IPS |
|
|
Image Classification (Q)
|
97% |
3669
684.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4895
79.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6704
108.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7034
114.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28188
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30050
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
27940
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
4759
377.5 IPS |
|
|
Object Detection (HP)
|
100% |
5194
412.0 IPS |
|
|
Object Detection (Q)
|
91% |
4155
332.1 IPS |
|
|
Face Detection (SP)
|
100% |
12778
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
16216
192.7 IPS |
|
|
Face Detection (Q)
|
100% |
11664
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20256
156.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22217
171.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
17900
139.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56743
72.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67703
87.0 IPS |
|
|
Style Transfer (Q)
|
96% |
63452
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11883
438.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12716
469.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9945
367.2 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5372
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5417
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1946
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2058
35.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1671
28.9 IPS |
