MacBook Air (15-inch, 2023)
Geekbench AI Score
7002
Single Precision Score
8134
Half Precision Score
7567
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ibragimov |
| Upload Date | July 27 2025 05:15 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3668
682.2 IPS |
|
|
Image Classification (HP)
|
100% |
3665
681.6 IPS |
|
|
Image Classification (Q)
|
96% |
3462
646.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
5722
92.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5925
96.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5639
91.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24593
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26630
31.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
25976
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3632
288.1 IPS |
|
|
Object Detection (HP)
|
100% |
3731
295.9 IPS |
|
|
Object Detection (Q)
|
92% |
3377
269.6 IPS |
|
|
Face Detection (SP)
|
100% |
9368
111.3 IPS |
|
|
Face Detection (HP)
|
100% |
12236
145.4 IPS |
|
|
Face Detection (Q)
|
100% |
10063
119.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16646
128.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
18181
140.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
16729
130.7 IPS |
|
|
Style Transfer (SP)
|
100% |
41843
53.8 IPS |
|
|
Style Transfer (HP)
|
100% |
47858
61.5 IPS |
|
|
Style Transfer (Q)
|
96% |
47711
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7033
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10619
392.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9143
337.6 IPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3822
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1282
22.1 IPS |
