MacBook Air (15-inch, 2023)
Geekbench AI Score
3302
Single Precision Score
6046
Half Precision Score
4912
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | EmilioDSin |
| Upload Date | September 16 2025 11:50 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1301
241.9 IPS |
|
|
Image Classification (HP)
|
100% |
2531
470.7 IPS |
|
|
Image Classification (Q)
|
96% |
1773
331.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1436
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2785
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6307
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
15202
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13083
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1424
113.0 IPS |
|
|
Object Detection (HP)
|
97% |
2822
224.6 IPS |
|
|
Object Detection (Q)
|
94% |
2039
162.5 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
6013
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3479
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5352
41.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10965
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7696
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18074
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28289
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23529
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4976
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3696
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3922
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3907
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3614
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6837
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6825
117.9 IPS |
