MacBook Air (15-inch, 2023)
Geekbench AI Score
3244
Single Precision Score
4786
Half Precision Score
3944
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | greedus |
| Upload Date | August 23 2024 11:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1513
281.4 IPS |
|
|
Image Classification (HP)
|
100% |
1931
359.2 IPS |
|
|
Image Classification (Q)
|
99% |
1923
358.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1315
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6130
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
14633
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12524
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1584
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2271
180.8 IPS |
|
|
Object Detection (Q)
|
94% |
1746
139.2 IPS |
|
|
Face Detection (SP)
|
100% |
2851
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
4405
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
2866
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5387
41.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8661
66.9 IPS |
|
|
Depth Estimation (Q)
|
96% |
4088
31.6 IPS |
|
|
Style Transfer (SP)
|
100% |
17377
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27170
34.9 IPS |
|
|
Style Transfer (Q)
|
100% |
27216
35.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4906
181.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3574
132.4 IPS |
|
|
Text Classification (SP)
|
100% |
2274
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3198
4.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3180
4.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3018
52.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4609
79.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4545
78.5 IPS |
