MacBook Air (15-inch, 2023)
Geekbench AI Score
3205
Single Precision Score
4728
Half Precision Score
3924
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tesme33 |
| Upload Date | August 15 2024 08:29 PM |
| Views | 3 |
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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1486
276.3 IPS |
|
|
Image Classification (HP)
|
100% |
1882
350.0 IPS |
|
|
Image Classification (Q)
|
99% |
1879
350.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1278
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1284
20.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6058
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
14654
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12439
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
97% |
2237
178.1 IPS |
|
|
Object Detection (Q)
|
94% |
1725
137.5 IPS |
|
|
Face Detection (SP)
|
100% |
2825
33.6 IPS |
|
|
Face Detection (HP)
|
100% |
4313
51.2 IPS |
|
|
Face Detection (Q)
|
100% |
2841
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5361
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8584
66.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4317
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17208
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27054
34.8 IPS |
|
|
Style Transfer (Q)
|
100% |
27026
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3630
134.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4916
181.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3539
131.1 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3098
4.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3084
4.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2953
50.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4621
79.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4622
79.9 IPS |
