MacBook Air (15-inch, 2023)
Geekbench AI Score
3298
Single Precision Score
26799
Half Precision Score
29552
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | EmilioDSin |
| Upload Date | September 16 2025 11:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1292
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
14456
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15291
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19635
318.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24166
391.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6307
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
102237
119.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105172
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1416
112.3 IPS |
|
|
Object Detection (HP)
|
99% |
15785
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17492
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
33851
402.2 IPS |
|
|
Face Detection (Q)
|
100% |
43401
515.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5343
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87888
677.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
107206
837.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18097
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
203569
261.7 IPS |
|
|
Style Transfer (Q)
|
96% |
191753
247.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3750
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42665
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49854
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2334
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3830
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3803
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3604
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4216
72.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4418
76.4 IPS |
