MacBook Air (15-inch, 2023)
Geekbench AI Score
6184
Single Precision Score
6272
Half Precision Score
2032
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | KenTang |
| Upload Date | February 12 2025 06:10 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
3510
652.7 IPS |
|
|
Image Classification (HP)
|
100% |
3655
679.6 IPS |
|
|
Image Classification (Q)
|
97% |
2655
495.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3982
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4906
79.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4812
78.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24493
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26143
30.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
23742
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3553
281.8 IPS |
|
|
Object Detection (HP)
|
100% |
3652
289.7 IPS |
|
|
Object Detection (Q)
|
92% |
2797
223.2 IPS |
|
|
Face Detection (SP)
|
100% |
9762
116.0 IPS |
|
|
Face Detection (HP)
|
100% |
11264
133.8 IPS |
|
|
Face Detection (Q)
|
100% |
7696
91.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16593
127.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17881
137.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
107.8 IPS |
|
|
Style Transfer (SP)
|
100% |
42153
54.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48237
62.0 IPS |
|
|
Style Transfer (Q)
|
96% |
44926
58.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9525
351.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10198
376.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7652
282.6 IPS |
|
|
Text Classification (SP)
|
100% |
1220
1.63 KIPS |
|
|
Text Classification (HP)
|
100% |
576
768.5 IPS |
|
|
Text Classification (Q)
|
93% |
626
840.1 IPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
858
14.8 IPS |
