iPad13,18
Geekbench AI Score
2716
Single Precision Score
4513
Half Precision Score
3799
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 04:03 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1208
224.7 IPS |
|
|
Image Classification (HP)
|
100% |
1899
353.2 IPS |
|
|
Image Classification (Q)
|
96% |
1359
253.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1070
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2173
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5581
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
11097
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10229
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (HP)
|
97% |
2141
170.4 IPS |
|
|
Object Detection (Q)
|
94% |
1562
124.5 IPS |
|
|
Face Detection (SP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4531
53.8 IPS |
|
|
Face Detection (Q)
|
100% |
2666
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4978
38.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9645
74.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6677
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14195
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23188
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19437
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3013
111.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4023
148.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3070
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (Q)
|
93% |
3503
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2151
37.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3105
53.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3572
61.7 IPS |
