MacBook Air (2022)
Geekbench AI Score
3464
Single Precision Score
25960
Half Precision Score
28909
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Mint_roo |
| Upload Date | November 25 2024 02:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
14332
2.67 KIPS |
|
|
Image Classification (Q)
|
96% |
15426
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1539
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18963
307.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23887
387.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6884
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
103826
121.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
105034
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.4 IPS |
|
|
Object Detection (HP)
|
99% |
15103
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17189
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3191
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
33113
393.5 IPS |
|
|
Face Detection (Q)
|
100% |
42701
507.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5763
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86472
666.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
106614
833.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18775
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
200878
258.2 IPS |
|
|
Style Transfer (Q)
|
96% |
189590
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4078
150.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39399
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47684
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2222
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3641
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3617
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3532
60.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3954
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4117
71.1 IPS |
