iPad16,6
Geekbench AI Score
4703
Single Precision Score
7877
Half Precision Score
6792
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | aggrobot |
| Upload Date | August 16 2024 02:23 AM |
| Views | 46 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
3359
624.7 IPS |
|
|
Image Classification (Q)
|
99% |
3327
620.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3268
53.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3235
52.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10029
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19081
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16319
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2231
177.0 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2701
215.3 IPS |
|
|
Face Detection (SP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
7694
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
4440
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8262
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14670
113.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
14743
114.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25109
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38122
49.0 IPS |
|
|
Style Transfer (Q)
|
100% |
38100
49.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6883
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4729
175.2 IPS |
|
|
Text Classification (SP)
|
100% |
3046
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5605
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5487
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3869
66.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6987
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6810
117.7 IPS |
