MacBook Air (15-inch, 2023)
Geekbench AI Score
6521
Single Precision Score
7162
Half Precision Score
6462
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | October 05 2024 03:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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% |
3537
657.7 IPS |
|
|
Image Classification (HP)
|
100% |
3467
644.7 IPS |
|
|
Image Classification (Q)
|
97% |
2936
547.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4016
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4978
80.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5106
82.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24186
28.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
26210
30.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24372
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3351
265.8 IPS |
|
|
Object Detection (HP)
|
100% |
3416
270.9 IPS |
|
|
Object Detection (Q)
|
91% |
3006
240.2 IPS |
|
|
Face Detection (SP)
|
100% |
10326
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
11850
140.8 IPS |
|
|
Face Detection (Q)
|
100% |
8358
99.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16528
127.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17672
136.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
14623
114.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42627
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48427
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45261
58.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9651
356.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9961
367.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7872
290.7 IPS |
|
|
Text Classification (SP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3616
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
626
10.8 IPS |
|
|
Machine Translation (Q)
|
98% |
735
12.7 IPS |
