MacBook Air (15-inch, 2023)
Geekbench AI Score
3457
Single Precision Score
27508
Half Precision Score
30614
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | GPV67 |
| Upload Date | December 05 2024 03:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
14361
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15425
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19435
315.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23584
382.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6842
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
103323
120.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
104856
122.9 IPS |
|
|
Object Detection (SP)
|
100% |
1559
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
15529
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17265
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
33660
400.0 IPS |
|
|
Face Detection (Q)
|
100% |
42583
506.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5644
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86518
666.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
107303
838.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18716
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
199655
256.7 IPS |
|
|
Style Transfer (Q)
|
96% |
190955
246.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4042
149.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39597
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47854
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3769
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3756
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3574
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6386
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7003
121.0 IPS |
