iPad16,6
Geekbench AI Score
4679
Single Precision Score
31112
Half Precision Score
39891
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | chrismclay |
| Upload Date | August 15 2024 10:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 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% |
1972
366.8 IPS |
|
|
Image Classification (HP)
|
100% |
16922
3.15 KIPS |
|
|
Image Classification (Q)
|
99% |
18712
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14042
227.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
14151
229.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10049
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118444
138.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
224525
263.4 IPS |
|
|
Object Detection (SP)
|
100% |
2210
175.3 IPS |
|
|
Object Detection (HP)
|
100% |
17032
1.35 KIPS |
|
|
Object Detection (Q)
|
91% |
25331
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
26443
314.2 IPS |
|
|
Face Detection (Q)
|
100% |
45682
542.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8271
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
82608
636.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
92280
713.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24973
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
169155
217.5 IPS |
|
|
Style Transfer (Q)
|
100% |
168519
216.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5825
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48926
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
82302
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5965
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6454
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16439
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17956
310.3 IPS |
