MacBook Air (2022)
Geekbench AI Score
5746
Single Precision Score
6417
Half Precision Score
5660
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | TofuBoi |
| Upload Date | October 30 2024 06:36 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
3331
619.5 IPS |
|
|
Image Classification (HP)
|
100% |
3388
630.1 IPS |
|
|
Image Classification (Q)
|
97% |
2802
523.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3703
60.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4305
69.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4259
69.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19760
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
21316
24.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
19852
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3135
248.7 IPS |
|
|
Object Detection (HP)
|
100% |
3188
252.9 IPS |
|
|
Object Detection (Q)
|
91% |
2640
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
9367
111.3 IPS |
|
|
Face Detection (HP)
|
100% |
10284
122.2 IPS |
|
|
Face Detection (Q)
|
100% |
7189
85.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13825
106.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14880
114.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
12025
94.0 IPS |
|
|
Style Transfer (SP)
|
100% |
36229
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
40154
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37552
48.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7833
289.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8255
304.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6505
240.2 IPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3760
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3778
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
98% |
677
11.7 IPS |
