MacBook Air (15-inch, 2023)
Geekbench AI Score
3455
Single Precision Score
23250
Half Precision Score
25551
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 09:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
14202
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
15405
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9732
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10897
176.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6852
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
106065
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105562
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.8 IPS |
|
|
Object Detection (HP)
|
99% |
15186
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17751
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3129
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
34023
404.3 IPS |
|
|
Face Detection (Q)
|
100% |
43107
512.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5656
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
86344
665.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
108585
848.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18689
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201346
258.8 IPS |
|
|
Style Transfer (Q)
|
96% |
191522
247.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4056
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39677
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47055
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3765
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2361
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2374
41.0 IPS |
