MacBook Air (15-inch, 2023)
Geekbench AI Score
3443
Single Precision Score
6014
Half Precision Score
4883
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 13 2025 11:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.3 IPS |
|
|
Image Classification (Q)
|
96% |
1770
330.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1470
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2403
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2754
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6824
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
15335
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13128
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1531
121.5 IPS |
|
|
Object Detection (HP)
|
97% |
2800
222.9 IPS |
|
|
Object Detection (Q)
|
94% |
2045
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
5787
68.8 IPS |
|
|
Face Detection (Q)
|
100% |
3403
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5516
42.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11043
85.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7769
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18674
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29320
37.7 IPS |
|
|
Style Transfer (Q)
|
96% |
24248
31.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4990
184.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3718
137.3 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3905
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3735
64.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6478
111.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6331
109.4 IPS |
