MacBook Air (15-inch, 2023)
Geekbench AI Score
7306
Single Precision Score
8106
Half Precision Score
7482
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Ilikemacbooks |
| Upload Date | April 17 2025 07:05 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
3647
678.2 IPS |
|
|
Image Classification (HP)
|
100% |
3654
679.5 IPS |
|
|
Image Classification (Q)
|
96% |
3417
638.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5693
92.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5883
95.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5607
90.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24616
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26294
30.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
25409
29.8 IPS |
|
|
Object Detection (SP)
|
100% |
3655
289.9 IPS |
|
|
Object Detection (HP)
|
100% |
3746
297.1 IPS |
|
|
Object Detection (Q)
|
92% |
3370
269.0 IPS |
|
|
Face Detection (SP)
|
100% |
10398
123.5 IPS |
|
|
Face Detection (HP)
|
100% |
11991
142.5 IPS |
|
|
Face Detection (Q)
|
100% |
9931
118.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16756
129.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
17876
137.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
16276
127.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42099
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48597
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
47214
60.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9795
361.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10083
372.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8642
319.1 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3943
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3909
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1397
24.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1300
22.5 IPS |
