MacBook Air (15-inch, 2023)
Geekbench AI Score
3468
Single Precision Score
26345
Half Precision Score
29196
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rennsport |
| Upload Date | April 07 2025 10:32 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
14729
2.74 KIPS |
|
|
Image Classification (Q)
|
96% |
15786
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1538
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19087
309.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23826
386.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6866
8.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
104042
121.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
104356
122.3 IPS |
|
|
Object Detection (SP)
|
100% |
1551
123.0 IPS |
|
|
Object Detection (HP)
|
99% |
15241
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
17372
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32974
391.8 IPS |
|
|
Face Detection (Q)
|
100% |
42087
500.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5736
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87364
673.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
106649
833.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18644
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201254
258.7 IPS |
|
|
Style Transfer (Q)
|
96% |
191509
247.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4055
149.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39615
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47618
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3769
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3547
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4131
71.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4279
73.9 IPS |
