MacBook Air (15-inch, 2023)
Geekbench AI Score
3444
Single Precision Score
24480
Half Precision Score
26955
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | October 05 2024 03:18 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1390
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
13949
2.59 KIPS |
|
|
Image Classification (Q)
|
96% |
14720
2.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1527
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18528
300.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23880
387.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6859
8.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
102322
119.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104138
122.1 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
99% |
15024
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16883
1.35 KIPS |
|
|
Face Detection (SP)
|
100% |
3120
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
33751
401.0 IPS |
|
|
Face Detection (Q)
|
100% |
41891
497.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5677
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
85616
659.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
104280
814.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18729
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
199892
257.0 IPS |
|
|
Style Transfer (Q)
|
96% |
189786
244.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4079
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38867
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46334
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2177
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3640
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3604
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3522
60.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2381
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2367
40.9 IPS |
