MacBook Air (15-inch, 2023)
Geekbench AI Score
3018
Single Precision Score
5568
Half Precision Score
4586
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | September 17 2025 01:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
2476
460.4 IPS |
|
|
Image Classification (Q)
|
96% |
1732
323.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1239
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2695
43.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6212
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
13620
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12560
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1336
105.9 IPS |
|
|
Object Detection (HP)
|
97% |
2684
213.7 IPS |
|
|
Object Detection (Q)
|
94% |
1958
156.0 IPS |
|
|
Face Detection (SP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
5468
65.0 IPS |
|
|
Face Detection (Q)
|
100% |
3233
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5107
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10744
83.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7586
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17431
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27920
35.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23002
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3661
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4980
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3538
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
1984
2.65 KIPS |
|
|
Text Classification (HP)
|
99% |
3573
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3312
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2617
45.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4905
84.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5425
93.7 IPS |
