MacBook Air (2022)
Geekbench AI Score
3417
Single Precision Score
15248
Half Precision Score
15627
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | themc68 |
| Upload Date | September 03 2024 02:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5309e) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1362
253.4 IPS |
|
|
Image Classification (HP)
|
100% |
7469
1.39 KIPS |
|
|
Image Classification (Q)
|
99% |
7878
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7422
120.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
7456
120.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6572
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
91396
106.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
87339
102.4 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.8 IPS |
|
|
Object Detection (HP)
|
99% |
8619
685.6 IPS |
|
|
Object Detection (Q)
|
93% |
8729
696.5 IPS |
|
|
Face Detection (SP)
|
100% |
3143
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
13947
165.7 IPS |
|
|
Face Detection (Q)
|
100% |
13536
160.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5591
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
49813
383.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
51944
401.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18707
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
132267
170.0 IPS |
|
|
Style Transfer (Q)
|
100% |
132872
170.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4126
152.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19422
717.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
24247
898.3 IPS |
|
|
Text Classification (SP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3576
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3569
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3581
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2439
42.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2399
41.5 IPS |
