MacBook Air (15-inch, 2023)
Geekbench AI Score
3302
Single Precision Score
26096
Half Precision Score
28771
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 01:28 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1300
241.7 IPS |
|
|
Image Classification (HP)
|
100% |
13930
2.59 KIPS |
|
|
Image Classification (Q)
|
96% |
15808
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1412
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18883
306.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22944
371.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6245
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
106001
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105599
123.8 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.7 IPS |
|
|
Object Detection (HP)
|
99% |
15245
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17019
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
33129
393.6 IPS |
|
|
Face Detection (Q)
|
100% |
40866
485.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5368
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
83355
642.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
103489
808.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18075
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
195529
251.4 IPS |
|
|
Style Transfer (Q)
|
96% |
191007
246.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3812
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40531
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47407
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4023
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3916
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3577
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3977
68.7 IPS |
