iPad13,18
Geekbench AI Score
2591
Single Precision Score
4469
Half Precision Score
3754
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | jobieh |
| Upload Date | July 13 2025 07:42 AM |
| Views | 6 |
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% |
1163
216.2 IPS |
|
|
Image Classification (HP)
|
100% |
1872
348.2 IPS |
|
|
Image Classification (Q)
|
96% |
1320
246.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
947
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1970
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4786
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
8848
10.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
8883
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (HP)
|
97% |
2035
162.0 IPS |
|
|
Object Detection (Q)
|
94% |
1503
119.8 IPS |
|
|
Face Detection (SP)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4507
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
2670
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4776
36.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8976
69.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6452
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13519
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22922
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
19526
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2888
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3172
117.1 IPS |
|
|
Text Classification (SP)
|
100% |
2131
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3760
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3709
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2301
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4043
69.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4056
70.1 IPS |
