MacBook Air (15-inch, 2023)
Geekbench AI Score
7295
Single Precision Score
8075
Half Precision Score
7551
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | September 30 2025 01:27 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3717
691.3 IPS |
|
|
Image Classification (HP)
|
100% |
3574
664.7 IPS |
|
|
Image Classification (Q)
|
96% |
3331
622.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5745
93.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5925
96.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5761
93.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24674
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26732
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25980
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3526
279.7 IPS |
|
|
Object Detection (HP)
|
100% |
3670
291.1 IPS |
|
|
Object Detection (Q)
|
92% |
3430
273.8 IPS |
|
|
Face Detection (SP)
|
100% |
10354
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
12122
144.0 IPS |
|
|
Face Detection (Q)
|
100% |
10046
119.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16806
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18029
138.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
16748
130.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42711
54.9 IPS |
|
|
Style Transfer (HP)
|
100% |
49989
64.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47602
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9902
365.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10057
371.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8943
330.2 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3745
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3700
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1379
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1331
23.0 IPS |
