MacBook Air (2022)
Geekbench AI Score
5151
Single Precision Score
5731
Half Precision Score
3897
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | mfc1992 |
| Upload Date | August 17 2024 09:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2464
458.1 IPS |
|
|
Image Classification (HP)
|
100% |
2964
551.2 IPS |
|
|
Image Classification (Q)
|
99% |
2524
470.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3550
57.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4232
68.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
4094
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19770
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20891
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
12295
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
2817
223.5 IPS |
|
|
Object Detection (HP)
|
100% |
2831
224.5 IPS |
|
|
Object Detection (Q)
|
91% |
2028
162.1 IPS |
|
|
Face Detection (SP)
|
100% |
9042
107.4 IPS |
|
|
Face Detection (HP)
|
100% |
9414
111.9 IPS |
|
|
Face Detection (Q)
|
100% |
6468
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13608
104.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14225
109.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
1544
11.9 IPS |
|
|
Style Transfer (SP)
|
100% |
34609
44.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38864
50.0 IPS |
|
|
Style Transfer (Q)
|
100% |
39724
51.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7559
279.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8076
298.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5979
221.5 IPS |
|
|
Text Classification (SP)
|
100% |
1490
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2284
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
563
9.70 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.09 IPS |
|
|
Machine Translation (Q)
|
98% |
579
10.0 IPS |
