MacBook Air (15-inch, 2023)
Geekbench AI Score
3434
Single Precision Score
5980
Half Precision Score
4877
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Ilikemacbooks |
| Upload Date | April 17 2025 07:09 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.0 IPS |
|
|
Image Classification (HP)
|
100% |
2521
468.9 IPS |
|
|
Image Classification (Q)
|
96% |
1764
329.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2408
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2792
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6826
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
15153
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13146
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1520
120.6 IPS |
|
|
Object Detection (HP)
|
97% |
2790
222.1 IPS |
|
|
Object Detection (Q)
|
94% |
2032
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5809
69.0 IPS |
|
|
Face Detection (Q)
|
100% |
3410
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5517
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10968
84.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7700
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18572
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29010
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24028
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3924
144.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4978
183.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3698
136.5 IPS |
|
|
Text Classification (SP)
|
100% |
2332
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3859
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3844
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3752
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6421
111.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6452
111.5 IPS |
