MacBook Air (15-inch, 2023)
Geekbench AI Score
3426
Single Precision Score
26708
Half Precision Score
29338
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 03 2025 06:35 PM |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
15021
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15165
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19316
313.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23664
383.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6801
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
104810
122.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105086
123.2 IPS |
|
|
Object Detection (SP)
|
100% |
1528
121.2 IPS |
|
|
Object Detection (HP)
|
99% |
15304
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17293
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3018
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
33524
398.3 IPS |
|
|
Face Detection (Q)
|
100% |
42580
505.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5514
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87005
670.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
107465
839.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18599
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
203523
261.6 IPS |
|
|
Style Transfer (Q)
|
96% |
194081
250.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3949
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39335
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47443
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2319
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3892
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3690
63.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4418
76.3 IPS |
