iPad16,4
Geekbench AI Score
4723
Single Precision Score
35292
Half Precision Score
49050
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 09:50 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 | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
17127
3.19 KIPS |
|
|
Image Classification (Q)
|
97% |
24003
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16540
268.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
20803
337.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10083
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123219
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232261
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2225
176.5 IPS |
|
|
Object Detection (HP)
|
100% |
18162
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25306
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
42063
499.8 IPS |
|
|
Face Detection (Q)
|
100% |
60474
718.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99332
765.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
166956
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25096
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233322
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297358
383.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5868
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49651
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83735
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5983
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6147
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3930
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16328
281.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17776
307.2 IPS |
