iPad13,17
Geekbench AI Score
3225
Single Precision Score
16316
Half Precision Score
16046
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 22 2024 08:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad13,17 |
| Model ID | iPad13,17 |
| Motherboard | J408AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
6247
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5969
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9753
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10058
163.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6529
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
68197
79.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65673
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7236
575.6 IPS |
|
|
Object Detection (Q)
|
91% |
6678
533.6 IPS |
|
|
Face Detection (SP)
|
100% |
3058
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16523
196.3 IPS |
|
|
Face Detection (Q)
|
100% |
15359
182.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5766
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
47231
363.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47746
373.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17106
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120965
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
112015
144.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23087
852.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23917
883.1 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3823
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3836
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5340
92.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5704
98.6 IPS |
