MacBook Air (15-inch, 2023)
Geekbench AI Score
6578
Single Precision Score
7099
Half Precision Score
6822
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | September 17 2025 02:00 AM |
| Views | 5 |
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 | 2.73 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3520
654.6 IPS |
|
|
Image Classification (HP)
|
100% |
3549
660.1 IPS |
|
|
Image Classification (Q)
|
96% |
3289
614.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5147
83.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3678
59.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3649
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
20620
24.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
23017
26.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
22325
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
3517
279.0 IPS |
|
|
Object Detection (HP)
|
100% |
3530
280.0 IPS |
|
|
Object Detection (Q)
|
92% |
3291
262.7 IPS |
|
|
Face Detection (SP)
|
100% |
9375
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
10611
126.1 IPS |
|
|
Face Detection (Q)
|
100% |
8909
105.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16133
124.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16483
127.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
14853
116.0 IPS |
|
|
Style Transfer (SP)
|
100% |
35988
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
46127
59.3 IPS |
|
|
Style Transfer (Q)
|
96% |
40671
52.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8738
322.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9401
347.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9361
345.7 IPS |
|
|
Text Classification (SP)
|
100% |
1910
2.55 KIPS |
|
|
Text Classification (HP)
|
99% |
3136
4.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3370
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1271
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1290
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1460
25.2 IPS |
