MacBook Air (15-inch, M4, 2025)/M4 Mac16,13
Geekbench AI Score
4700
Single Precision Score
36389
Half Precision Score
51428
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 21 2025 05:15 AM |
| Views | 38 |
| Notes | MacBook Air (15-inch, M4, 2025)/M4/16GB/256GBSSD/10 Core GPU |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D2082) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
17638
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
24928
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21826
353.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
29157
472.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9942
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123380
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231983
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2262
179.4 IPS |
|
|
Object Detection (HP)
|
100% |
18206
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25627
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3818
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
42303
502.6 IPS |
|
|
Face Detection (Q)
|
100% |
61397
729.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98842
761.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168449
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25145
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232467
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
295797
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5882
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48866
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82974
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5900
7.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6590
8.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3906
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16801
289.4 IPS |
|
|
Machine Translation (Q)
|
98% |
17908
309.5 IPS |
