MacBook Air (15-inch, 2023)
Geekbench AI Score
3439
Single Precision Score
26513
Half Precision Score
29700
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | antinoos |
| Upload Date | June 16 2025 11:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
15028
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15871
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1478
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19566
317.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23705
384.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6810
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
105565
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106517
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.6 IPS |
|
|
Object Detection (HP)
|
99% |
15294
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17371
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3055
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
30721
365.0 IPS |
|
|
Face Detection (Q)
|
100% |
42791
508.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5501
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87112
671.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108166
845.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18602
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201677
259.3 IPS |
|
|
Style Transfer (Q)
|
96% |
194535
251.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3983
147.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39987
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48132
1.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
4010
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4295
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4415
76.3 IPS |
