MacBook Air (15-inch, 2023)
Geekbench AI Score
3216
Single Precision Score
26074
Half Precision Score
28559
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Soham89 |
| Upload Date | March 14 2026 06:08 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1271
236.3 IPS |
|
|
Image Classification (HP)
|
100% |
14337
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15538
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19581
317.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23748
385.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6213
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
104561
122.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106560
124.9 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
99% |
16190
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17725
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
33961
403.5 IPS |
|
|
Face Detection (Q)
|
100% |
43456
516.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5224
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
86417
665.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
108992
851.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17736
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204404
262.8 IPS |
|
|
Style Transfer (Q)
|
96% |
196043
253.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3770
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41622
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45605
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3882
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3808
5.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3154
54.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3212
55.5 IPS |
