iPad13,18
Geekbench AI Score
2736
Single Precision Score
4666
Half Precision Score
3859
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:15 PM |
| Views | 1 |
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% |
1236
229.8 IPS |
|
|
Image Classification (HP)
|
100% |
1945
361.6 IPS |
|
|
Image Classification (Q)
|
96% |
1370
255.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2147
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5491
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
11400
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10127
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (HP)
|
97% |
2149
171.1 IPS |
|
|
Object Detection (Q)
|
94% |
1574
125.5 IPS |
|
|
Face Detection (SP)
|
100% |
2442
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
4514
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
2667
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4878
37.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9175
70.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6458
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14053
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24025
30.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20082
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3028
111.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4142
152.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3153
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3637
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3624
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2246
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3956
68.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3961
68.5 IPS |
