MacBook Air (15-inch, 2023)
Geekbench AI Score
2609
Single Precision Score
23409
Half Precision Score
29140
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 07:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.29 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1013
188.3 IPS |
|
|
Image Classification (HP)
|
100% |
13399
2.49 KIPS |
|
|
Image Classification (Q)
|
96% |
14464
2.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17267
279.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23229
376.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4824
5.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
76200
88.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
87682
102.8 IPS |
|
|
Object Detection (SP)
|
100% |
985
78.1 IPS |
|
|
Object Detection (HP)
|
99% |
12370
984.0 IPS |
|
|
Object Detection (Q)
|
91% |
15640
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
2696
32.0 IPS |
|
|
Face Detection (HP)
|
100% |
28186
334.9 IPS |
|
|
Face Detection (Q)
|
100% |
37220
442.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4199
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78875
607.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
103071
805.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12618
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
176887
227.4 IPS |
|
|
Style Transfer (Q)
|
96% |
194539
251.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3137
115.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38476
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49174
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
1977
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3638
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3569
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4117
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7316
126.4 IPS |
