iPad16,6
Geekbench AI Score
4644
Single Precision Score
7784
Half Precision Score
6797
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | gnu08 |
| Upload Date | August 20 2024 02:52 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1981
368.3 IPS |
|
|
Image Classification (HP)
|
100% |
3355
623.9 IPS |
|
|
Image Classification (Q)
|
99% |
3346
624.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3307
53.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
3332
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9854
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18936
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16191
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2195
174.1 IPS |
|
|
Object Detection (HP)
|
97% |
3756
299.0 IPS |
|
|
Object Detection (Q)
|
94% |
2675
213.2 IPS |
|
|
Face Detection (SP)
|
100% |
3843
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7445
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4397
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8229
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14567
112.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
14669
113.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24749
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37644
48.4 IPS |
|
|
Style Transfer (Q)
|
100% |
37612
48.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5773
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6856
253.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4773
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5544
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5616
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6672
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6705
115.9 IPS |
