MacBook Air (15-inch, 2023)
Geekbench AI Score
6302
Single Precision Score
6969
Half Precision Score
6369
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | October 25 2024 01:39 AM |
| Views | 1 |
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% |
3550
660.2 IPS |
|
|
Image Classification (HP)
|
100% |
3531
656.7 IPS |
|
|
Image Classification (Q)
|
97% |
2938
548.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4008
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4987
80.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5068
82.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24405
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26234
30.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24395
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
3002
238.1 IPS |
|
|
Object Detection (HP)
|
100% |
2953
234.3 IPS |
|
|
Object Detection (Q)
|
91% |
3021
241.4 IPS |
|
|
Face Detection (SP)
|
100% |
9807
116.5 IPS |
|
|
Face Detection (HP)
|
100% |
10694
127.1 IPS |
|
|
Face Detection (Q)
|
100% |
8392
99.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16599
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17804
137.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
14799
115.7 IPS |
|
|
Style Transfer (SP)
|
100% |
42239
54.3 IPS |
|
|
Style Transfer (HP)
|
100% |
48410
62.2 IPS |
|
|
Style Transfer (Q)
|
96% |
45300
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9673
357.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9955
367.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7828
289.0 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3636
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3622
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
98% |
628
10.9 IPS |
