MacBook Air (15-inch, 2023)
Geekbench AI Score
6702
Single Precision Score
7468
Half Precision Score
6561
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rennsport |
| Upload Date | April 07 2025 10:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3657
680.0 IPS |
|
|
Image Classification (HP)
|
100% |
3661
680.8 IPS |
|
|
Image Classification (Q)
|
97% |
3000
559.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4048
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5008
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5095
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
24640
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26333
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24495
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3562
282.6 IPS |
|
|
Object Detection (HP)
|
100% |
3699
293.4 IPS |
|
|
Object Detection (Q)
|
91% |
3080
246.1 IPS |
|
|
Face Detection (SP)
|
100% |
10409
123.7 IPS |
|
|
Face Detection (HP)
|
100% |
11898
141.4 IPS |
|
|
Face Detection (Q)
|
100% |
8369
99.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16777
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17833
137.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
15038
117.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42856
55.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48649
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
45504
58.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9773
360.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10095
372.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7970
294.3 IPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3784
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3776
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
839
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
767
13.2 IPS |
|
|
Machine Translation (Q)
|
98% |
744
12.9 IPS |
