MacBook Air (15-inch, 2023)
Geekbench AI Score
3422
Single Precision Score
5898
Half Precision Score
4797
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | March 08 2025 03:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Air (15-inch, 2023) |
| Model ID | Mac14,15 |
| Motherboard | Mac14,15 |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1378
256.3 IPS |
|
|
Image Classification (HP)
|
100% |
2498
464.5 IPS |
|
|
Image Classification (Q)
|
96% |
1686
314.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2845
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6780
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
14833
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12953
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
97% |
2790
222.1 IPS |
|
|
Object Detection (Q)
|
94% |
2072
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
5964
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3440
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11674
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8095
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18801
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28853
37.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23709
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4009
148.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4865
179.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3605
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3718
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
3556
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5555
96.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5674
98.1 IPS |
