MacBook Air (15-inch, 2023)
Geekbench AI Score
3322
Single Precision Score
26600
Half Precision Score
29502
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | ibragimov |
| Upload Date | July 27 2025 05:11 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1331
247.6 IPS |
|
|
Image Classification (HP)
|
100% |
14823
2.76 KIPS |
|
|
Image Classification (Q)
|
96% |
15510
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19310
313.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23793
385.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6623
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
105424
123.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106464
124.8 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
99% |
15520
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
18229
1.46 KIPS |
|
|
Face Detection (SP)
|
100% |
2949
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
32395
384.9 IPS |
|
|
Face Detection (Q)
|
100% |
40715
483.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5372
41.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
86841
669.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
111500
871.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18447
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
204452
262.8 IPS |
|
|
Style Transfer (Q)
|
96% |
186388
240.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3918
144.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41342
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49365
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3879
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3484
60.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4054
69.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4305
74.4 IPS |
