iPad Air 13 pouces (M3) iPad15,6
Geekbench AI Score
4129
Single Precision Score
30990
Half Precision Score
34948
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | jcl94 |
| Upload Date | May 04 2025 09:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad15,6 |
| Model ID | iPad15,6 |
| Motherboard | J638AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1631
303.3 IPS |
|
|
Image Classification (HP)
|
100% |
17397
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
19925
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21985
356.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
26999
437.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8901
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120856
141.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
121728
142.7 IPS |
|
|
Object Detection (SP)
|
100% |
1834
145.4 IPS |
|
|
Object Detection (HP)
|
100% |
18028
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
20968
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
3544
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
39120
464.8 IPS |
|
|
Face Detection (Q)
|
100% |
50720
602.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7138
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
97789
753.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
122711
959.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22499
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229046
294.4 IPS |
|
|
Style Transfer (Q)
|
96% |
221294
285.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5242
193.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46578
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58714
2.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5303
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5173
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3276
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4733
81.8 IPS |
