MacBook Air (15-inch, 2023)
Geekbench AI Score
3494
Single Precision Score
28231
Half Precision Score
31402
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mduncanvm |
| Upload Date | March 13 2026 04:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
15213
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
15876
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19739
320.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24438
396.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6203
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
105592
123.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105309
123.4 IPS |
|
|
Object Detection (SP)
|
100% |
1425
113.0 IPS |
|
|
Object Detection (HP)
|
99% |
15786
1.26 KIPS |
|
|
Object Detection (Q)
|
89% |
17757
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
35078
416.8 IPS |
|
|
Face Detection (Q)
|
100% |
48155
572.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5397
41.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87129
671.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
112246
878.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18009
23.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205434
264.1 IPS |
|
|
Style Transfer (Q)
|
96% |
189484
244.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3716
137.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39262
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46918
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
6214
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6113
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3621
62.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4195
72.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4376
75.6 IPS |
