MacBook Air (15-inch, 2023)
Geekbench AI Score
3431
Single Precision Score
26361
Half Precision Score
29095
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | fsg |
| Upload Date | April 14 2026 10:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| 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% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
13828
2.57 KIPS |
|
|
Image Classification (Q)
|
96% |
14231
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1471
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19488
315.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23933
388.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6805
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
101390
118.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
104675
122.7 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
99% |
15756
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17033
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3064
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
33138
393.8 IPS |
|
|
Face Detection (Q)
|
100% |
42218
501.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5508
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87151
671.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
107165
837.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18586
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203423
261.5 IPS |
|
|
Style Transfer (Q)
|
96% |
193710
250.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3932
145.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38521
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46936
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
2311
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3914
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3884
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3724
64.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4481
77.4 IPS |
