MacBook Air (15-inch, 2023)
Geekbench AI Score
3441
Single Precision Score
5919
Half Precision Score
5164
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | manylulus |
| Upload Date | August 15 2024 11:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
1373
255.4 IPS |
|
|
Image Classification (HP)
|
100% |
2516
468.0 IPS |
|
|
Image Classification (Q)
|
99% |
2509
467.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2472
40.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2465
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6816
7.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
14805
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12700
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2851
226.9 IPS |
|
|
Object Detection (Q)
|
94% |
2048
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
3112
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
5988
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3445
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5661
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11523
89.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
11524
89.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18610
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28409
36.5 IPS |
|
|
Style Transfer (Q)
|
100% |
28549
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4795
177.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3502
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2223
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3623
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3568
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5808
100.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5830
100.8 IPS |
