iPad13,18
Geekbench AI Score
2654
Single Precision Score
12883
Half Precision Score
12748
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bxckam1422 |
| Upload Date | April 15 2025 10:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1223
227.4 IPS |
|
|
Image Classification (HP)
|
100% |
5001
930.1 IPS |
|
|
Image Classification (Q)
|
96% |
4773
891.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8119
131.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8289
134.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5052
5.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
62808
73.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
61251
71.8 IPS |
|
|
Object Detection (SP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (HP)
|
99% |
5577
443.7 IPS |
|
|
Object Detection (Q)
|
91% |
4882
390.1 IPS |
|
|
Face Detection (SP)
|
100% |
2468
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
13832
164.3 IPS |
|
|
Face Detection (Q)
|
100% |
11874
141.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4760
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36642
282.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
34748
271.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13175
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
99397
127.8 IPS |
|
|
Style Transfer (Q)
|
96% |
105240
135.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18371
678.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18728
691.5 IPS |
|
|
Text Classification (SP)
|
100% |
2120
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (Q)
|
93% |
2317
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2204
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4263
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5088
87.9 IPS |
