iPad13,18
Geekbench AI Score
1596
Single Precision Score
10287
Half Precision Score
10497
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | chaseps |
| Upload Date | September 04 2024 09:35 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
759
141.1 IPS |
|
|
Image Classification (HP)
|
100% |
4413
820.7 IPS |
|
|
Image Classification (Q)
|
99% |
4611
860.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.81 IPS |
|
|
Image Segmentation (HP)
|
100% |
3835
62.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
3729
60.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4504
5.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
58145
67.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
56329
66.1 IPS |
|
|
Object Detection (SP)
|
100% |
874
69.3 IPS |
|
|
Object Detection (HP)
|
99% |
5099
405.6 IPS |
|
|
Object Detection (Q)
|
93% |
5280
421.3 IPS |
|
|
Face Detection (SP)
|
100% |
1421
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
11288
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
10072
119.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3010
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35471
273.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
38006
293.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8010
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
100880
129.7 IPS |
|
|
Style Transfer (Q)
|
100% |
107528
138.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2141
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14175
523.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
17254
639.2 IPS |
|
|
Text Classification (SP)
|
100% |
865
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
2443
3.26 KIPS |
|
|
Text Classification (Q)
|
93% |
2429
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1842
31.8 IPS |
