MacBook Air (2022)
Geekbench AI Score
2195
Single Precision Score
18093
Half Precision Score
20483
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Uty |
| Upload Date | August 22 2025 04:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
820
152.5 IPS |
|
|
Image Classification (HP)
|
100% |
7660
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
12365
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14470
234.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17942
290.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4109
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
67636
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
66580
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1001
79.4 IPS |
|
|
Object Detection (HP)
|
99% |
12199
970.4 IPS |
|
|
Object Detection (Q)
|
91% |
12123
968.6 IPS |
|
|
Face Detection (SP)
|
100% |
2117
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
21206
252.0 IPS |
|
|
Face Detection (Q)
|
100% |
27582
327.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3529
27.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
62177
479.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
74161
579.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11423
14.7 IPS |
|
|
Style Transfer (HP)
|
100% |
141073
181.4 IPS |
|
|
Style Transfer (Q)
|
96% |
134576
173.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2551
94.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29956
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34782
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
1562
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2469
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2371
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2982
51.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3071
53.1 IPS |
