iPad16,1
Geekbench AI Score
3991
Single Precision Score
25238
Half Precision Score
35327
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 06:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1743
324.1 IPS |
|
|
Image Classification (HP)
|
100% |
11222
2.09 KIPS |
|
|
Image Classification (Q)
|
97% |
15167
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15952
258.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20891
338.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7742
9.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
103854
121.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
203601
238.6 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
100% |
13701
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19091
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
35181
418.0 IPS |
|
|
Face Detection (Q)
|
100% |
51389
610.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6872
52.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
78698
606.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
128132
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
20806
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
205433
264.1 IPS |
|
|
Style Transfer (Q)
|
96% |
252092
325.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4935
182.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34311
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60317
2.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3184
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6598
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7711
133.2 IPS |
