MacBook Air (15-inch, 2023)
Geekbench AI Score
7319
Single Precision Score
8264
Half Precision Score
7890
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | lidw950401 |
| Upload Date | October 30 2025 02:04 AM |
| Views | 1 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3795
705.7 IPS |
|
|
Image Classification (HP)
|
100% |
3658
680.3 IPS |
|
|
Image Classification (Q)
|
96% |
3375
630.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5775
93.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5922
96.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5669
91.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24406
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26704
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26044
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3170
251.5 IPS |
|
|
Object Detection (HP)
|
100% |
3655
289.9 IPS |
|
|
Object Detection (Q)
|
92% |
3464
276.5 IPS |
|
|
Face Detection (SP)
|
100% |
10352
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
12165
144.5 IPS |
|
|
Face Detection (Q)
|
100% |
10029
119.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16989
130.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17554
135.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
16923
132.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42544
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48939
62.9 IPS |
|
|
Style Transfer (Q)
|
96% |
47410
61.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9807
362.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10166
375.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8841
326.5 IPS |
|
|
Text Classification (SP)
|
100% |
2367
3.16 KIPS |
|
|
Text Classification (HP)
|
99% |
4003
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3980
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1499
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1654
28.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1915
33.1 IPS |
