iPad13,17
Geekbench AI Score
3231
Single Precision Score
5300
Half Precision Score
4377
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 11:04 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2171
403.8 IPS |
|
|
Image Classification (Q)
|
96% |
1562
291.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1389
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2218
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2588
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6529
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13841
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11980
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2435
193.8 IPS |
|
|
Object Detection (Q)
|
94% |
1799
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5587
66.4 IPS |
|
|
Face Detection (Q)
|
100% |
3219
38.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5781
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11028
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7658
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17137
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26279
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21983
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4397
162.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3352
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3877
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3882
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3910
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4202
72.6 IPS |
