MacBook Air (15-inch, 2023)
Geekbench AI Score
3472
Single Precision Score
26095
Half Precision Score
29107
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | The-Idle-Crow |
| Upload Date | March 07 2025 11:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1397
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
14350
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15511
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18883
306.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24058
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6877
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
105437
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105161
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
99% |
15047
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17180
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3159
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
31072
369.2 IPS |
|
|
Face Detection (Q)
|
100% |
42298
502.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5739
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87891
677.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
106747
834.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18645
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201616
259.2 IPS |
|
|
Style Transfer (Q)
|
96% |
187712
242.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39716
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48069
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3795
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3729
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3600
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4104
70.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4263
73.7 IPS |
