MacBook Air (15-inch, 2023)
Geekbench AI Score
3437
Single Precision Score
26583
Half Precision Score
29589
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 13 2025 11:37 AM |
| Views | 5 |
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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1364
253.7 IPS |
|
|
Image Classification (HP)
|
100% |
14738
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
16071
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19638
318.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24091
390.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6841
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
102431
119.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106607
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
1523
120.8 IPS |
|
|
Object Detection (HP)
|
99% |
15138
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17186
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
33506
398.1 IPS |
|
|
Face Detection (Q)
|
100% |
42536
505.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5566
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86055
663.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
107585
840.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18651
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201310
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
195437
252.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4041
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39808
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47227
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3873
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3730
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4346
74.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4433
76.6 IPS |
