MacBook Air (15-inch, 2023)
Geekbench AI Score
3304
Single Precision Score
26637
Half Precision Score
29208
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | galois1811 |
| Upload Date | December 14 2025 03:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
14674
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
15892
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1399
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19543
316.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24168
391.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6303
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
103232
120.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105245
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
99% |
15786
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17147
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
34341
408.0 IPS |
|
|
Face Detection (Q)
|
100% |
43622
518.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5458
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86862
669.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
107958
843.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18114
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
205585
264.3 IPS |
|
|
Style Transfer (Q)
|
96% |
190836
246.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3739
138.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38694
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43106
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3871
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3851
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3648
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4190
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4371
75.5 IPS |
