iPad13,17
Geekbench AI Score
3204
Single Precision Score
5386
Half Precision Score
4409
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 20 2025 07:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.7 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2145
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2525
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6500
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14229
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12205
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2422
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5399
64.1 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5648
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10409
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7367
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16958
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26933
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22346
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3691
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4609
170.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3509
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2229
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3893
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4586
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4518
78.1 IPS |
