MacBook Air (15-inch, 2023)
Geekbench AI Score
3272
Single Precision Score
26907
Half Precision Score
29812
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jenswollenweber |
| Upload Date | December 03 2025 01:07 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | MacBook Air (15-inch, 2023) |
| Model ID | Mac14,15 |
| Motherboard | Mac14,15 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.31 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1273
236.7 IPS |
|
|
Image Classification (HP)
|
100% |
14683
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
16302
3.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1411
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19684
319.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24028
389.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6285
7.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
105971
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105671
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
99% |
16160
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
17656
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
33573
398.9 IPS |
|
|
Face Detection (Q)
|
100% |
43741
519.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5421
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
87505
674.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109784
857.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17960
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
205672
264.4 IPS |
|
|
Style Transfer (Q)
|
96% |
196725
253.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41801
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
48783
1.80 KIPS |
|
|
Text Classification (SP)
|
100% |
2278
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3865
5.16 KIPS |
|
|
Text Classification (Q)
|
93% |
3847
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4117
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4280
74.0 IPS |
