iPad Air (5th generation)
Geekbench AI Score
3235
Single Precision Score
15660
Half Precision Score
15327
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 11 2025 03:24 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Air (5th generation) |
| Model ID | iPad13,16 |
| Motherboard | J407AP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1409
262.1 IPS |
|
|
Image Classification (HP)
|
100% |
6252
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5843
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9757
158.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9962
161.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
67783
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66479
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (HP)
|
99% |
7140
568.0 IPS |
|
|
Object Detection (Q)
|
91% |
6629
529.7 IPS |
|
|
Face Detection (SP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
16540
196.5 IPS |
|
|
Face Detection (Q)
|
100% |
15267
181.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5765
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
46945
361.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
46688
364.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17143
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
120211
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
112660
145.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3754
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22871
844.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23549
869.5 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3873
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3916
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2476
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3767
65.1 IPS |
