MacBook Air (15-inch, 2023)
Geekbench AI Score
3277
Single Precision Score
26688
Half Precision Score
29486
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | remusn |
| Upload Date | October 20 2025 01:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
14644
2.72 KIPS |
|
|
Image Classification (Q)
|
96% |
16021
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1429
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19470
315.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23734
384.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6256
7.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
105950
123.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104523
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.1 IPS |
|
|
Object Detection (HP)
|
99% |
15811
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17723
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
34153
405.8 IPS |
|
|
Face Detection (Q)
|
100% |
43569
517.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5294
40.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87502
674.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
108838
850.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17861
23.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205043
263.6 IPS |
|
|
Style Transfer (Q)
|
96% |
195897
252.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40088
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47085
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3782
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3790
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3599
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4132
71.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4255
73.5 IPS |
