MacBook Air (15-inch, 2023)
Geekbench AI Score
3201
Single Precision Score
4721
Half Precision Score
3930
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | howells |
| Upload Date | August 21 2024 10:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1475
274.4 IPS |
|
|
Image Classification (HP)
|
100% |
1783
331.7 IPS |
|
|
Image Classification (Q)
|
99% |
1794
334.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1306
21.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1299
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6092
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
14553
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12517
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
97% |
2239
178.2 IPS |
|
|
Object Detection (Q)
|
94% |
1682
134.0 IPS |
|
|
Face Detection (SP)
|
100% |
2742
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
4297
51.1 IPS |
|
|
Face Detection (Q)
|
100% |
2827
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5270
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8465
65.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4298
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17235
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26759
34.4 IPS |
|
|
Style Transfer (Q)
|
100% |
27071
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3611
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3566
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (Q)
|
93% |
3361
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3024
52.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4493
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4555
78.7 IPS |
