iPad13,18
Geekbench AI Score
2476
Single Precision Score
2844
Half Precision Score
2197
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Crow-fusion |
| Upload Date | August 16 2024 05:20 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1085
201.8 IPS |
|
|
Image Classification (HP)
|
100% |
1078
200.5 IPS |
|
|
Image Classification (Q)
|
99% |
1083
201.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1577
25.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
1606
26.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6144
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
8298
9.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
7374
8.65 IPS |
|
|
Object Detection (SP)
|
100% |
1259
99.9 IPS |
|
|
Object Detection (HP)
|
100% |
1255
99.5 IPS |
|
|
Object Detection (Q)
|
91% |
1025
81.9 IPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3806
45.2 IPS |
|
|
Face Detection (Q)
|
100% |
2712
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4861
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5585
43.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
1013
7.84 IPS |
|
|
Style Transfer (SP)
|
100% |
13376
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13608
17.5 IPS |
|
|
Style Transfer (Q)
|
100% |
13484
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2830
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2968
109.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2397
88.8 IPS |
|
|
Text Classification (SP)
|
100% |
2053
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3500
4.67 KIPS |
|
|
Text Classification (Q)
|
93% |
3524
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
637
11.0 IPS |
