iPad Air 13-inch (M2)
Geekbench AI Score
6000
Single Precision Score
6679
Half Precision Score
5983
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 08:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad Air 13-inch (M2) |
| Model ID | iPad14,10 |
| Motherboard | J537AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2931
545.2 IPS |
|
|
Image Classification (HP)
|
100% |
2974
553.0 IPS |
|
|
Image Classification (Q)
|
97% |
2505
467.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3847
62.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4597
74.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4622
74.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22387
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23731
27.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
22196
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
3193
253.3 IPS |
|
|
Object Detection (HP)
|
100% |
3069
243.4 IPS |
|
|
Object Detection (Q)
|
91% |
2655
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
9630
114.4 IPS |
|
|
Face Detection (HP)
|
100% |
10901
129.5 IPS |
|
|
Face Detection (Q)
|
100% |
7518
89.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15417
118.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16419
126.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
13854
108.3 IPS |
|
|
Style Transfer (SP)
|
100% |
38597
49.6 IPS |
|
|
Style Transfer (HP)
|
100% |
43709
56.2 IPS |
|
|
Style Transfer (Q)
|
96% |
40816
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8060
297.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8442
311.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7493
276.7 IPS |
|
|
Text Classification (SP)
|
100% |
2244
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3727
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3669
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
738
12.8 IPS |
