MacBook Air (2022)
Geekbench AI Score
5781
Single Precision Score
6470
Half Precision Score
5580
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ZBOYDMARK |
| Upload Date | August 19 2024 06:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
3510
652.7 IPS |
|
|
Image Classification (HP)
|
100% |
3658
680.2 IPS |
|
|
Image Classification (Q)
|
99% |
3157
588.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3958
64.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4896
79.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
4777
77.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24560
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26166
30.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
23630
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3561
282.5 IPS |
|
|
Object Detection (HP)
|
100% |
3679
291.8 IPS |
|
|
Object Detection (Q)
|
92% |
2826
225.6 IPS |
|
|
Face Detection (SP)
|
100% |
9752
115.9 IPS |
|
|
Face Detection (HP)
|
100% |
11176
132.8 IPS |
|
|
Face Detection (Q)
|
100% |
7654
90.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16780
129.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18360
141.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
18162
140.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42665
54.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48662
62.6 IPS |
|
|
Style Transfer (Q)
|
100% |
48415
62.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9976
368.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10153
374.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7777
288.1 IPS |
|
|
Text Classification (SP)
|
100% |
478
638.5 IPS |
|
|
Text Classification (HP)
|
100% |
658
878.7 IPS |
|
|
Text Classification (Q)
|
93% |
537
720.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1034
17.9 IPS |
