MacBook Air (15-inch, 2023)
Geekbench AI Score
3429
Single Precision Score
26753
Half Precision Score
29662
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | GPV67 |
| Upload Date | April 04 2025 12:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
14676
2.73 KIPS |
|
|
Image Classification (Q)
|
96% |
15806
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19562
317.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23992
388.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6802
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
104679
122.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
106686
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
1535
121.8 IPS |
|
|
Object Detection (HP)
|
99% |
15309
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17681
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
33626
399.6 IPS |
|
|
Face Detection (Q)
|
100% |
42632
506.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5499
42.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
87219
672.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
108268
846.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18517
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
204720
263.2 IPS |
|
|
Style Transfer (Q)
|
96% |
193889
250.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3957
146.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40290
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47989
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3924
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3898
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
3701
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4302
74.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4403
76.1 IPS |
