iPad13,18
Geekbench AI Score
2321
Single Precision Score
11194
Half Precision Score
11376
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 08:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
785
146.1 IPS |
|
|
Image Classification (HP)
|
100% |
4797
892.2 IPS |
|
|
Image Classification (Q)
|
96% |
4779
892.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6470
104.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9109
147.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4298
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
61528
71.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
58325
68.4 IPS |
|
|
Object Detection (SP)
|
100% |
1127
89.4 IPS |
|
|
Object Detection (HP)
|
99% |
5767
458.8 IPS |
|
|
Object Detection (Q)
|
91% |
4555
364.0 IPS |
|
|
Face Detection (SP)
|
100% |
2272
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
13367
158.8 IPS |
|
|
Face Detection (Q)
|
100% |
11682
138.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4448
34.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
35771
275.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
35933
280.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10803
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
95517
122.8 IPS |
|
|
Style Transfer (Q)
|
96% |
104011
134.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2066
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17888
660.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17614
650.4 IPS |
|
|
Text Classification (SP)
|
100% |
2112
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1884
2.51 KIPS |
|
|
Text Classification (Q)
|
93% |
2315
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2202
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1824
31.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1763
30.5 IPS |
