MacBook Air (15-inch, 2023)
Geekbench AI Score
6955
Single Precision Score
7793
Half Precision Score
7355
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | June 10 2025 02:22 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
3378
628.2 IPS |
|
|
Image Classification (HP)
|
100% |
3389
630.2 IPS |
|
|
Image Classification (Q)
|
96% |
3264
609.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
5402
87.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5828
94.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5606
90.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
24270
28.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
25939
30.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
24820
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
3507
278.2 IPS |
|
|
Object Detection (HP)
|
100% |
3129
248.2 IPS |
|
|
Object Detection (Q)
|
92% |
3381
269.9 IPS |
|
|
Face Detection (SP)
|
100% |
9841
116.9 IPS |
|
|
Face Detection (HP)
|
100% |
11937
141.8 IPS |
|
|
Face Detection (Q)
|
100% |
9649
114.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16346
125.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17723
136.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
16493
128.8 IPS |
|
|
Style Transfer (SP)
|
100% |
41944
53.9 IPS |
|
|
Style Transfer (HP)
|
100% |
47836
61.5 IPS |
|
|
Style Transfer (Q)
|
96% |
47149
60.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9595
354.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9981
368.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8670
320.1 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3667
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3599
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1290
22.3 IPS |
