iPad13,18
Geekbench AI Score
2731
Single Precision Score
12623
Half Precision Score
12626
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mamiyoshi |
| Upload Date | March 18 2025 11:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1192
221.6 IPS |
|
|
Image Classification (HP)
|
100% |
4224
785.6 IPS |
|
|
Image Classification (Q)
|
96% |
4631
864.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1046
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8066
130.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8769
142.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5396
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
59816
69.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
59500
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
99% |
5793
460.8 IPS |
|
|
Object Detection (Q)
|
91% |
4993
399.0 IPS |
|
|
Face Detection (SP)
|
100% |
2466
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
13963
165.9 IPS |
|
|
Face Detection (Q)
|
100% |
12078
143.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5016
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
38445
296.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
33256
259.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14146
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
93905
120.7 IPS |
|
|
Style Transfer (Q)
|
96% |
92632
119.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3072
113.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16754
618.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18097
668.2 IPS |
|
|
Text Classification (SP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (Q)
|
93% |
2317
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4485
77.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5471
94.5 IPS |
