MacBook Air (15-inch, 2023)
Geekbench AI Score
3449
Single Precision Score
5943
Half Precision Score
4832
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | October 02 2024 12:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1391
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2524
469.4 IPS |
|
|
Image Classification (Q)
|
96% |
1772
330.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2554
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2895
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6827
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
14850
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12846
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1550
123.0 IPS |
|
|
Object Detection (HP)
|
97% |
2903
231.1 IPS |
|
|
Object Detection (Q)
|
94% |
2086
166.3 IPS |
|
|
Face Detection (SP)
|
100% |
3135
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
5947
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3520
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5672
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11671
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8101
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18675
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28509
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23900
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4080
150.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4798
177.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3567
131.7 IPS |
|
|
Text Classification (SP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3629
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3605
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3525
60.7 IPS |
|
|
Machine Translation (HP)
|
98% |
5741
99.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5760
99.5 IPS |
