MacBook Air (15-inch, 2023)
Geekbench AI Score
6416
Single Precision Score
7207
Half Precision Score
6414
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | October 24 2024 10:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
3556
661.2 IPS |
|
|
Image Classification (HP)
|
100% |
3543
658.9 IPS |
|
|
Image Classification (Q)
|
97% |
2946
549.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
4035
65.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5010
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5125
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24621
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26340
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24421
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3496
277.3 IPS |
|
|
Object Detection (HP)
|
100% |
3456
274.2 IPS |
|
|
Object Detection (Q)
|
91% |
3023
241.5 IPS |
|
|
Face Detection (SP)
|
100% |
10356
123.0 IPS |
|
|
Face Detection (HP)
|
100% |
11746
139.6 IPS |
|
|
Face Detection (Q)
|
100% |
8205
97.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16651
128.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
17692
136.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
14760
115.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42662
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48441
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45378
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9843
363.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9958
367.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7879
290.9 IPS |
|
|
Text Classification (SP)
|
100% |
2175
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
3725
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3711
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
98% |
658
11.4 IPS |
