iPad13,18
Geekbench AI Score
2480
Single Precision Score
2866
Half Precision Score
2546
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mamiyoshi |
| Upload Date | March 18 2025 11:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1105
205.5 IPS |
|
|
Image Classification (HP)
|
100% |
1103
205.1 IPS |
|
|
Image Classification (Q)
|
97% |
960
179.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1580
25.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1585
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6132
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
8300
9.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
7629
8.94 IPS |
|
|
Object Detection (SP)
|
100% |
1240
98.3 IPS |
|
|
Object Detection (HP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (Q)
|
91% |
1050
83.9 IPS |
|
|
Face Detection (SP)
|
100% |
3330
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3824
45.4 IPS |
|
|
Face Detection (Q)
|
100% |
2711
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4841
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5589
43.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
4796
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12998
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13660
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12898
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2970
109.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2439
90.0 IPS |
|
|
Text Classification (SP)
|
100% |
2109
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3549
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
651
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
649
11.2 IPS |
