MacBook Air M4 Mac16,13
Geekbench AI Score
4812
Single Precision Score
36586
Half Precision Score
51250
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | MaverickCougar |
| Upload Date | May 29 2025 06:09 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2096
389.9 IPS |
|
|
Image Classification (HP)
|
100% |
16964
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
25412
4.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2154
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21922
355.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30442
493.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9936
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122721
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231152
270.9 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.7 IPS |
|
|
Object Detection (HP)
|
100% |
18278
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25977
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4167
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
44271
526.0 IPS |
|
|
Face Detection (Q)
|
100% |
56853
675.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8627
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
98907
762.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
167724
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21590
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233605
300.3 IPS |
|
|
Style Transfer (Q)
|
96% |
295318
381.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6107
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49127
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83373
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6180
8.25 KIPS |
|
|
Text Classification (Q)
|
93% |
6282
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4404
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16588
285.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18250
315.4 IPS |
