iPad Air (5th generation)
Geekbench AI Score
3203
Single Precision Score
15625
Half Precision Score
15326
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | andriyfedorov |
| Upload Date | May 12 2025 11:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
6254
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5840
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1354
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9643
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9909
160.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6497
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
66467
77.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65894
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
99% |
7195
572.4 IPS |
|
|
Object Detection (Q)
|
91% |
6682
533.9 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
16450
195.5 IPS |
|
|
Face Detection (Q)
|
100% |
15311
181.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5683
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47318
364.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47570
371.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16971
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120324
154.7 IPS |
|
|
Style Transfer (Q)
|
96% |
113671
146.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3671
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23203
856.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23888
882.1 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3821
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3804
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2522
43.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3623
62.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3731
64.5 IPS |
