MacBook Air (2022)
Geekbench AI Score
3443
Single Precision Score
21395
Half Precision Score
23450
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | October 04 2024 12:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| 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% |
1374
255.5 IPS |
|
|
Image Classification (HP)
|
100% |
14792
2.75 KIPS |
|
|
Image Classification (Q)
|
99% |
15631
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1508
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9056
146.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
8996
145.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6875
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
100632
117.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
101016
118.5 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
99% |
14973
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17600
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3069
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
23145
275.0 IPS |
|
|
Face Detection (Q)
|
100% |
35774
425.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5654
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75028
578.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
81851
632.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18727
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
155940
200.5 IPS |
|
|
Style Transfer (Q)
|
100% |
155531
199.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4110
151.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40068
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
48567
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2241
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3764
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3723
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3553
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2438
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2443
42.2 IPS |
