MacBook Air (15-inch, 2023)
Geekbench AI Score
8092
Single Precision Score
8746
Half Precision Score
8180
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mduncanvm |
| Upload Date | March 13 2026 04:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5233c) |
| 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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3638
676.5 IPS |
|
|
Image Classification (HP)
|
100% |
3619
672.9 IPS |
|
|
Image Classification (Q)
|
94% |
3469
648.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5734
93.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5917
95.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5654
91.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24708
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26711
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
25921
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3570
283.1 IPS |
|
|
Object Detection (HP)
|
100% |
3701
293.6 IPS |
|
|
Object Detection (Q)
|
91% |
3604
288.0 IPS |
|
|
Face Detection (SP)
|
100% |
10560
125.5 IPS |
|
|
Face Detection (HP)
|
100% |
12546
149.1 IPS |
|
|
Face Detection (Q)
|
100% |
11360
135.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16606
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18024
138.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
17021
133.1 IPS |
|
|
Style Transfer (SP)
|
100% |
42819
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
49209
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
47599
61.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9561
353.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10079
372.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8938
330.0 IPS |
|
|
Text Classification (SP)
|
100% |
4055
5.41 KIPS |
|
|
Text Classification (HP)
|
100% |
6148
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6159
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1795
30.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1446
25.0 IPS |
