iPad16,4
Geekbench AI Score
4701
Single Precision Score
36608
Half Precision Score
51949
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 01:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1992
370.5 IPS |
|
|
Image Classification (HP)
|
100% |
17142
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24506
4.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22082
358.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30658
497.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9978
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123612
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232108
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2209
175.2 IPS |
|
|
Object Detection (HP)
|
100% |
18619
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
25969
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4003
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
43579
517.8 IPS |
|
|
Face Detection (Q)
|
100% |
64007
760.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8307
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99055
763.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168843
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25092
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235202
302.4 IPS |
|
|
Style Transfer (Q)
|
96% |
297554
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5854
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48832
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84873
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6089
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6359
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16437
283.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18215
314.8 IPS |
