MacBook Air (15-inch, 2023)
Geekbench AI Score
3444
Single Precision Score
26604
Half Precision Score
29509
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Ilikemacbooks |
| Upload Date | April 17 2025 07:01 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
14498
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
15788
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19596
317.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24088
390.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6820
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
102974
120.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105386
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1525
121.0 IPS |
|
|
Object Detection (HP)
|
99% |
15195
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17100
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3082
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
33336
396.1 IPS |
|
|
Face Detection (Q)
|
100% |
42329
503.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5532
42.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86556
666.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
107850
842.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18627
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
200552
257.8 IPS |
|
|
Style Transfer (Q)
|
96% |
194870
251.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3957
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41483
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47166
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
3892
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3932
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3740
64.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4277
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4428
76.5 IPS |
