MacBook Air (15-inch, 2023)
Geekbench AI Score
3446
Single Precision Score
5933
Half Precision Score
4803
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | December 30 2024 06:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
2497
464.3 IPS |
|
|
Image Classification (Q)
|
96% |
1737
324.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2508
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2855
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6873
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14951
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12858
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.3 IPS |
|
|
Object Detection (HP)
|
97% |
2858
227.5 IPS |
|
|
Object Detection (Q)
|
94% |
2057
164.0 IPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
5951
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3463
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5734
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11625
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8052
62.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18767
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28552
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23518
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4095
151.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4894
180.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3604
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2167
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3619
4.83 KIPS |
|
|
Text Classification (Q)
|
93% |
3639
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3544
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5776
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5794
100.1 IPS |
