iPad16,5
Geekbench AI Score
8969
Single Precision Score
10423
Half Precision Score
9437
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | amadeus_ha |
| Upload Date | November 08 2024 11:39 PM |
| Views | 17 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4551
846.3 IPS |
|
|
Image Classification (HP)
|
100% |
4931
917.1 IPS |
|
|
Image Classification (Q)
|
97% |
4242
791.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4898
79.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6795
110.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7238
117.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
28247
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30250
35.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
28814
33.8 IPS |
|
|
Object Detection (SP)
|
100% |
4839
383.8 IPS |
|
|
Object Detection (HP)
|
100% |
5249
416.3 IPS |
|
|
Object Detection (Q)
|
91% |
4486
358.4 IPS |
|
|
Face Detection (SP)
|
100% |
12811
152.2 IPS |
|
|
Face Detection (HP)
|
100% |
16463
195.6 IPS |
|
|
Face Detection (Q)
|
100% |
12029
142.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20714
159.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22705
174.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
19386
151.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58488
75.2 IPS |
|
|
Style Transfer (HP)
|
100% |
68302
87.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64078
82.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11934
440.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12925
477.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10467
386.5 IPS |
|
|
Text Classification (SP)
|
100% |
3017
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5446
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5468
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1979
34.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1584
27.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1651
28.5 IPS |
