iPad13,18 (iPad 10) iPad13,18
Geekbench AI Score
2778
Single Precision Score
12977
Half Precision Score
12747
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | joebot |
| Upload Date | March 08 2025 03:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1198
222.8 IPS |
|
|
Image Classification (HP)
|
100% |
4572
850.2 IPS |
|
|
Image Classification (Q)
|
96% |
4780
892.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8261
133.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8566
138.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5769
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
61476
71.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59226
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
99% |
6013
478.3 IPS |
|
|
Object Detection (Q)
|
91% |
4736
378.4 IPS |
|
|
Face Detection (SP)
|
100% |
2468
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
14115
167.7 IPS |
|
|
Face Detection (Q)
|
100% |
12187
144.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5071
39.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
38213
294.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
37684
294.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14612
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96044
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
93365
120.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3266
120.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18331
676.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18725
691.4 IPS |
|
|
Text Classification (SP)
|
100% |
2121
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2267
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2277
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4509
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5397
93.3 IPS |
