MacBook Air (15-inch, 2023)
Geekbench AI Score
6809
Single Precision Score
7665
Half Precision Score
6929
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 10:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 1.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3059
568.8 IPS |
|
|
Image Classification (HP)
|
100% |
3386
629.6 IPS |
|
|
Image Classification (Q)
|
96% |
3261
609.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5703
92.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5840
94.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5613
91.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
24702
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26721
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26018
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
3312
262.7 IPS |
|
|
Object Detection (HP)
|
100% |
3522
279.4 IPS |
|
|
Object Detection (Q)
|
92% |
2867
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
10084
119.8 IPS |
|
|
Face Detection (HP)
|
100% |
11571
137.5 IPS |
|
|
Face Detection (Q)
|
100% |
9739
115.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16542
127.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17869
137.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13904
108.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42572
54.7 IPS |
|
|
Style Transfer (HP)
|
100% |
48937
62.9 IPS |
|
|
Style Transfer (Q)
|
96% |
47556
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9715
358.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10112
373.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8571
316.5 IPS |
|
|
Text Classification (SP)
|
100% |
1517
2.03 KIPS |
|
|
Text Classification (HP)
|
99% |
2469
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2482
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1491
25.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1365
23.6 IPS |
