MacBook Air (2022)
Geekbench AI Score
5669
Single Precision Score
6073
Half Precision Score
5518
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | themc68 |
| Upload Date | December 31 2024 06:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3328
618.8 IPS |
|
|
Image Classification (HP)
|
100% |
2215
411.9 IPS |
|
|
Image Classification (Q)
|
97% |
2648
494.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3598
58.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4244
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4285
69.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
19233
22.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
21240
24.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
19868
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3068
243.4 IPS |
|
|
Object Detection (HP)
|
100% |
3158
250.5 IPS |
|
|
Object Detection (Q)
|
91% |
2696
215.4 IPS |
|
|
Face Detection (SP)
|
100% |
9377
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
10291
122.3 IPS |
|
|
Face Detection (Q)
|
100% |
7236
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
13624
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
14840
114.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
12418
97.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35971
46.2 IPS |
|
|
Style Transfer (HP)
|
100% |
40363
51.9 IPS |
|
|
Style Transfer (Q)
|
96% |
37829
48.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7924
292.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8295
306.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6545
241.7 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3707
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.79 IPS |
|
|
Machine Translation (Q)
|
98% |
523
9.04 IPS |
