iPad16,1
Geekbench AI Score
3798
Single Precision Score
4166
Half Precision Score
4105
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | klflv |
| Upload Date | November 20 2024 01:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.76 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
882
164.1 IPS |
|
|
Image Classification (HP)
|
100% |
799
148.7 IPS |
|
|
Image Classification (Q)
|
97% |
1104
206.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3194
51.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3511
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3470
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13086
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13487
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12852
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.5 IPS |
|
|
Object Detection (HP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (Q)
|
91% |
1548
123.7 IPS |
|
|
Face Detection (SP)
|
100% |
5940
70.6 IPS |
|
|
Face Detection (HP)
|
100% |
5695
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
5225
62.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10383
80.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11089
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9446
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27347
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30661
39.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29615
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4392
162.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4206
155.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3790
139.9 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5692
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5531
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (HP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (Q)
|
98% |
582
10.1 IPS |
