iPad Air (5th generation)
Geekbench AI Score
3230
Single Precision Score
15534
Half Precision Score
15275
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 06:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1397
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
6195
1.15 KIPS |
|
|
Image Classification (Q)
|
96% |
5918
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9755
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10089
163.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6525
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
66653
77.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
65684
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
99% |
7237
575.7 IPS |
|
|
Object Detection (Q)
|
91% |
6690
534.6 IPS |
|
|
Face Detection (SP)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16476
195.8 IPS |
|
|
Face Detection (Q)
|
100% |
15208
180.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5818
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47277
364.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
47574
371.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17145
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
121438
156.1 IPS |
|
|
Style Transfer (Q)
|
96% |
112368
145.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3749
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23242
858.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24090
889.5 IPS |
|
|
Text Classification (SP)
|
100% |
2277
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3949
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3932
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2533
43.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3233
55.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3423
59.1 IPS |
