MacBook Air (15-inch, 2023)
Geekbench AI Score
3476
Single Precision Score
5955
Half Precision Score
4829
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 09:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1391
258.7 IPS |
|
|
Image Classification (HP)
|
100% |
2532
470.8 IPS |
|
|
Image Classification (Q)
|
96% |
1766
329.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2873
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6871
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14822
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12745
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1550
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2866
228.2 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6042
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3483
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5652
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11607
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8015
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18697
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28396
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23709
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4047
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4825
178.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3553
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2321
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3771
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3763
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5815
100.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5832
100.8 IPS |
