iPad Air (5th generation)
Geekbench AI Score
3233
Single Precision Score
5301
Half Precision Score
4382
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 11 2025 03:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.2 IPS |
|
|
Image Classification (Q)
|
96% |
1561
291.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2209
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2598
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6528
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13866
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11992
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2446
194.8 IPS |
|
|
Object Detection (Q)
|
94% |
1799
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
3053
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
5594
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3231
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5777
44.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11035
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7675
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17209
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26287
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22016
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3755
138.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4361
161.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3358
124.0 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3852
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3859
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3925
67.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4225
73.0 IPS |
