iPad13,18
Geekbench AI Score
2594
Single Precision Score
4514
Half Precision Score
3755
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 02 2025 02:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1210
224.9 IPS |
|
|
Image Classification (HP)
|
100% |
1929
358.8 IPS |
|
|
Image Classification (Q)
|
96% |
1370
255.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1705
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2113
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4982
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
10290
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9271
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1271
100.8 IPS |
|
|
Object Detection (HP)
|
97% |
2113
168.3 IPS |
|
|
Object Detection (Q)
|
94% |
1558
124.1 IPS |
|
|
Face Detection (SP)
|
100% |
2360
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
4350
51.7 IPS |
|
|
Face Detection (Q)
|
100% |
2556
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4535
34.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8511
65.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6341
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12415
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21700
27.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18199
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2746
101.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4274
157.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3161
116.7 IPS |
|
|
Text Classification (SP)
|
100% |
2162
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3706
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3836
66.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3863
66.8 IPS |
