iPadAir5 (iPad13,17) iPad13,17
Geekbench AI Score
3087
Single Precision Score
14516
Half Precision Score
14198
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M4rc0L |
| Upload Date | September 17 2025 08:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1308
243.2 IPS |
|
|
Image Classification (HP)
|
100% |
5993
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5695
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8847
143.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9203
149.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6007
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
65514
76.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
64397
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (HP)
|
99% |
6696
532.7 IPS |
|
|
Object Detection (Q)
|
91% |
6222
497.2 IPS |
|
|
Face Detection (SP)
|
100% |
2972
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
13031
154.8 IPS |
|
|
Face Detection (Q)
|
100% |
12078
143.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5471
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42438
327.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
42837
334.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16507
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119512
153.6 IPS |
|
|
Style Transfer (Q)
|
96% |
110770
142.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3451
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23553
869.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23660
873.6 IPS |
|
|
Text Classification (SP)
|
100% |
2402
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4156
5.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4149
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2761
47.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2819
48.7 IPS |
