iPad16,3
Geekbench AI Score
7978
Single Precision Score
9227
Half Precision Score
8155
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | kdw4gb |
| Upload Date | August 19 2024 08:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4264
792.9 IPS |
|
|
Image Classification (HP)
|
100% |
4529
842.3 IPS |
|
|
Image Classification (Q)
|
99% |
4130
770.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4735
76.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6501
105.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
6409
103.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
28303
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30179
35.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27677
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
4553
361.2 IPS |
|
|
Object Detection (HP)
|
100% |
4967
394.0 IPS |
|
|
Object Detection (Q)
|
92% |
3940
314.5 IPS |
|
|
Face Detection (SP)
|
100% |
12094
143.7 IPS |
|
|
Face Detection (HP)
|
100% |
15163
180.2 IPS |
|
|
Face Detection (Q)
|
100% |
10967
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20111
154.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22289
171.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
22384
173.1 IPS |
|
|
Style Transfer (SP)
|
100% |
56203
72.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67291
86.5 IPS |
|
|
Style Transfer (Q)
|
100% |
66953
86.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11468
423.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12492
461.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9907
367.0 IPS |
|
|
Text Classification (SP)
|
100% |
1609
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1677
2.24 KIPS |
|
|
Text Classification (Q)
|
93% |
1296
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2128
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2137
36.9 IPS |
