MacBook Air (15-inch, 2023)
Geekbench AI Score
3448
Single Precision Score
20965
Half Precision Score
22693
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | manylulus |
| Upload Date | August 15 2024 10:56 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
1376
255.9 IPS |
|
|
Image Classification (HP)
|
100% |
13896
2.58 KIPS |
|
|
Image Classification (Q)
|
99% |
14599
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1549
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9097
147.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
8953
145.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6840
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
100128
116.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
100943
118.4 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.2 IPS |
|
|
Object Detection (HP)
|
99% |
13965
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17322
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
23074
274.2 IPS |
|
|
Face Detection (Q)
|
100% |
32430
385.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5614
43.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
75594
582.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
78860
609.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18618
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
153869
197.8 IPS |
|
|
Style Transfer (Q)
|
100% |
153502
197.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4059
149.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39783
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
46479
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3630
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3607
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3562
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2395
41.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2408
41.6 IPS |
