MacBook Air (15-inch, 2023)
Geekbench AI Score
7304
Single Precision Score
8194
Half Precision Score
7660
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 13 2025 11:34 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
3633
675.7 IPS |
|
|
Image Classification (HP)
|
100% |
3661
680.8 IPS |
|
|
Image Classification (Q)
|
96% |
3420
638.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5707
92.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5861
95.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5681
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
24635
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26754
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26136
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
3644
289.0 IPS |
|
|
Object Detection (HP)
|
100% |
3746
297.1 IPS |
|
|
Object Detection (Q)
|
92% |
3383
270.1 IPS |
|
|
Face Detection (SP)
|
100% |
10378
123.3 IPS |
|
|
Face Detection (HP)
|
100% |
12115
144.0 IPS |
|
|
Face Detection (Q)
|
100% |
10034
119.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
16802
129.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
18183
140.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
16631
129.9 IPS |
|
|
Style Transfer (SP)
|
100% |
42437
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
49349
63.4 IPS |
|
|
Style Transfer (Q)
|
96% |
47729
61.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9811
362.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10310
380.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8998
332.3 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3875
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3871
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1462
25.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1461
25.2 IPS |
