iPad13,18
Geekbench AI Score
2742
Single Precision Score
11204
Half Precision Score
10758
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1205
224.0 IPS |
|
|
Image Classification (HP)
|
100% |
4144
770.6 IPS |
|
|
Image Classification (Q)
|
96% |
4481
836.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1065
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5384
87.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5688
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5490
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
61505
71.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
59815
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
99% |
5711
454.3 IPS |
|
|
Object Detection (Q)
|
91% |
4522
361.3 IPS |
|
|
Face Detection (SP)
|
100% |
2493
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
13947
165.7 IPS |
|
|
Face Detection (Q)
|
100% |
11946
141.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5005
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
38833
299.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
33979
265.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14305
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94131
121.0 IPS |
|
|
Style Transfer (Q)
|
96% |
92289
119.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3116
115.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17094
631.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17780
656.5 IPS |
|
|
Text Classification (SP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2273
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1988
34.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1991
34.4 IPS |
