MacBook Air (15-inch, 2023)
Geekbench AI Score
3443
Single Precision Score
5978
Half Precision Score
4865
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | pcarrington |
| Upload Date | December 04 2024 02:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
2538
471.9 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2482
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2867
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6876
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14967
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12978
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
97% |
2908
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2105
167.8 IPS |
|
|
Face Detection (SP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5973
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3553
42.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5695
43.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11718
90.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8116
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18753
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28507
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23858
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4061
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4862
179.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3574
132.0 IPS |
|
|
Text Classification (SP)
|
100% |
2229
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3799
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3767
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5769
99.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5800
100.2 IPS |
