MacBook Air (15-inch, 2023)
Geekbench AI Score
2067
Single Precision Score
18733
Half Precision Score
20174
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | September 30 2025 03:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 1.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
758
141.0 IPS |
|
|
Image Classification (HP)
|
100% |
11044
2.05 KIPS |
|
|
Image Classification (Q)
|
96% |
12186
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14508
235.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15956
258.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3805
4.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
68435
79.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66230
77.6 IPS |
|
|
Object Detection (SP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (HP)
|
99% |
11660
927.5 IPS |
|
|
Object Detection (Q)
|
91% |
12105
967.3 IPS |
|
|
Face Detection (SP)
|
100% |
2028
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
23110
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
29466
350.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3406
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
61545
474.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
74951
585.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10616
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
141446
181.8 IPS |
|
|
Style Transfer (Q)
|
96% |
133372
172.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2420
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30109
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33638
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
1528
2.04 KIPS |
|
|
Text Classification (HP)
|
99% |
2400
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2387
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2303
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3029
52.3 IPS |
