iPad13,17
Geekbench AI Score
3235
Single Precision Score
5331
Half Precision Score
4376
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 08 2025 02:33 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2177
404.9 IPS |
|
|
Image Classification (Q)
|
96% |
1552
289.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2235
36.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2567
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6535
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13839
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11989
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2431
193.5 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5566
66.1 IPS |
|
|
Face Detection (Q)
|
100% |
3205
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5810
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11051
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7639
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17204
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26295
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21941
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3762
138.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4445
164.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3364
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3976
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3968
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3966
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4214
72.8 IPS |
