MacBook Air (2022)
Geekbench AI Score
3431
Single Precision Score
21182
Half Precision Score
22866
Quantized Score
Geekbench AI 1.0.0 Pro for macOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 19 2024 05:05 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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% |
1366
254.0 IPS |
|
|
Image Classification (HP)
|
100% |
14170
2.64 KIPS |
|
|
Image Classification (Q)
|
99% |
14294
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9104
147.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
9004
146.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6837
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
100504
117.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
100323
117.7 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
99% |
14928
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16993
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3095
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
23337
277.3 IPS |
|
|
Face Detection (Q)
|
100% |
35965
427.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5643
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
74854
576.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
81751
632.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18683
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
154980
199.2 IPS |
|
|
Style Transfer (Q)
|
100% |
156430
201.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4068
150.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40116
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
46149
1.71 KIPS |
|
|
Text Classification (SP)
|
100% |
2190
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3662
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3582
4.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3560
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2363
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2343
40.5 IPS |
