MacBook Air (2022)
Geekbench AI Score
3447
Single Precision Score
21469
Half Precision Score
23484
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pakitt |
| Upload Date | October 04 2024 12:59 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
1380
256.6 IPS |
|
|
Image Classification (HP)
|
100% |
14839
2.76 KIPS |
|
|
Image Classification (Q)
|
99% |
15555
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1509
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9053
146.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
9244
149.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6885
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
100672
117.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
100944
118.4 IPS |
|
|
Object Detection (SP)
|
100% |
1549
122.9 IPS |
|
|
Object Detection (HP)
|
99% |
15043
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17523
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
23468
278.8 IPS |
|
|
Face Detection (Q)
|
100% |
35849
426.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5628
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75317
580.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
82568
638.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18838
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
155635
200.1 IPS |
|
|
Style Transfer (Q)
|
100% |
155375
199.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4117
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41245
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
48758
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3679
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3515
60.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2441
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2432
42.0 IPS |
