iPad13,18
Geekbench AI Score
2736
Single Precision Score
12367
Half Precision Score
12222
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:35 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1190
221.3 IPS |
|
|
Image Classification (HP)
|
100% |
4469
831.0 IPS |
|
|
Image Classification (Q)
|
96% |
4717
880.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1030
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7996
129.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8225
133.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5579
6.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
63675
74.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59385
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
99% |
5791
460.6 IPS |
|
|
Object Detection (Q)
|
91% |
4978
397.8 IPS |
|
|
Face Detection (SP)
|
100% |
2462
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
13990
166.2 IPS |
|
|
Face Detection (Q)
|
100% |
11852
140.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5022
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
38478
296.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
36593
286.0 IPS |
|
|
Style Transfer (SP)
|
100% |
14382
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
94294
121.2 IPS |
|
|
Style Transfer (Q)
|
96% |
91828
118.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3126
115.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17051
629.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18001
664.7 IPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2231
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2240
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3252
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4055
70.1 IPS |
