MacBook Air (15-inch, 2023)
Geekbench AI Score
7366
Single Precision Score
8116
Half Precision Score
7701
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | EmilioDSin |
| Upload Date | September 16 2025 11:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3760
699.2 IPS |
|
|
Image Classification (HP)
|
100% |
3641
677.2 IPS |
|
|
Image Classification (Q)
|
96% |
3377
630.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5791
93.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5937
96.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5689
92.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
24495
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26914
31.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
25958
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3568
283.0 IPS |
|
|
Object Detection (HP)
|
100% |
3051
242.0 IPS |
|
|
Object Detection (Q)
|
92% |
3349
267.3 IPS |
|
|
Face Detection (SP)
|
100% |
10449
124.2 IPS |
|
|
Face Detection (HP)
|
100% |
12194
144.9 IPS |
|
|
Face Detection (Q)
|
100% |
10097
120.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16370
126.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18105
139.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
16603
129.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42441
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49188
63.2 IPS |
|
|
Style Transfer (Q)
|
96% |
47629
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9822
362.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10223
377.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8811
325.4 IPS |
|
|
Text Classification (SP)
|
100% |
2329
3.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3937
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3927
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1489
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1599
27.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1592
27.5 IPS |
