iPad16,3
Geekbench AI Score
8905
Single Precision Score
10643
Half Precision Score
9350
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | kdw4gb |
| Upload Date | November 22 2024 06:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4478
832.8 IPS |
|
|
Image Classification (HP)
|
100% |
4978
925.8 IPS |
|
|
Image Classification (Q)
|
97% |
4278
798.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4795
77.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6691
108.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7141
115.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
28086
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30040
35.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
28625
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
4747
376.6 IPS |
|
|
Object Detection (HP)
|
100% |
5197
412.2 IPS |
|
|
Object Detection (Q)
|
91% |
4416
352.9 IPS |
|
|
Face Detection (SP)
|
100% |
12781
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
16492
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
11932
141.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
20262
156.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
22347
172.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19008
148.6 IPS |
|
|
Style Transfer (SP)
|
100% |
58100
74.7 IPS |
|
|
Style Transfer (HP)
|
100% |
67641
87.0 IPS |
|
|
Style Transfer (Q)
|
96% |
63739
82.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11957
441.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12595
465.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10305
380.5 IPS |
|
|
Text Classification (SP)
|
100% |
3087
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5405
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1973
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2086
35.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1643
28.4 IPS |
