MacBook Air (15-inch, 2023)
Geekbench AI Score
2585
Single Precision Score
23253
Half Precision Score
25261
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | September 17 2025 02:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.12 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
897
166.9 IPS |
|
|
Image Classification (HP)
|
100% |
12822
2.38 KIPS |
|
|
Image Classification (Q)
|
96% |
13514
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
888
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16288
264.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18974
307.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4293
5.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
72868
85.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
73698
86.4 IPS |
|
|
Object Detection (SP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (HP)
|
99% |
12397
986.1 IPS |
|
|
Object Detection (Q)
|
91% |
13282
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
2031
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
30580
363.4 IPS |
|
|
Face Detection (Q)
|
100% |
43612
518.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5055
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
86009
662.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
94745
740.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15989
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
177172
227.8 IPS |
|
|
Style Transfer (Q)
|
96% |
171165
220.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3384
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36621
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45105
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3901
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3483
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3122
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3680
63.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3795
65.6 IPS |
