iPad13,18
Geekbench AI Score
2468
Single Precision Score
4474
Half Precision Score
3766
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | edugas |
| Upload Date | November 23 2025 02:42 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1145
212.9 IPS |
|
|
Image Classification (HP)
|
100% |
1978
367.9 IPS |
|
|
Image Classification (Q)
|
96% |
1442
269.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1006
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2042
33.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4307
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
9632
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8746
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1172
92.9 IPS |
|
|
Object Detection (HP)
|
97% |
2162
172.1 IPS |
|
|
Object Detection (Q)
|
94% |
1585
126.4 IPS |
|
|
Face Detection (SP)
|
100% |
2299
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
4338
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
2502
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4387
33.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8606
66.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6519
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12096
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20824
26.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18178
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2544
94.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3166
116.9 IPS |
|
|
Text Classification (SP)
|
100% |
2225
2.97 KIPS |
|
|
Text Classification (HP)
|
99% |
3832
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3803
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3949
68.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3948
68.2 IPS |
