MacBook Air (15-inch, 2023)
Geekbench AI Score
3296
Single Precision Score
26767
Half Precision Score
29296
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 09 2025 09:31 AM |
| Views | 8 |
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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1289
239.7 IPS |
|
|
Image Classification (HP)
|
100% |
14448
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15665
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19817
321.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24204
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6322
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
105855
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104755
122.8 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
99% |
15798
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17519
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3041
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
34202
406.4 IPS |
|
|
Face Detection (Q)
|
100% |
43631
518.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5369
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87876
677.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
107146
837.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18107
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203024
261.0 IPS |
|
|
Style Transfer (Q)
|
96% |
194315
250.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3752
138.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40226
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44260
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3830
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3803
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3603
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4195
72.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4377
75.6 IPS |
