MacBook Air (15-inch, 2023)
Geekbench AI Score
3439
Single Precision Score
5962
Half Precision Score
4836
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 05 2024 02:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.2 IPS |
|
|
Image Classification (Q)
|
96% |
1778
332.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2474
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2868
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6841
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
14844
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12784
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1547
122.7 IPS |
|
|
Object Detection (HP)
|
97% |
2897
230.6 IPS |
|
|
Object Detection (Q)
|
94% |
2082
166.0 IPS |
|
|
Face Detection (SP)
|
100% |
3066
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6033
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3488
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5656
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11614
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8034
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18657
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28455
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23770
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4055
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3567
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2243
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3773
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3743
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3513
60.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5775
99.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5802
100.3 IPS |
