MacBook Air M4 (15-inch) Mac16,13
Geekbench AI Score
8762
Single Precision Score
10632
Half Precision Score
9792
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | springkim |
| Upload Date | April 18 2025 04:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4356
810.1 IPS |
|
|
Image Classification (HP)
|
100% |
4771
887.2 IPS |
|
|
Image Classification (Q)
|
96% |
4617
862.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6999
113.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7731
125.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7579
122.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27416
32.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
29746
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
29023
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
4482
355.5 IPS |
|
|
Object Detection (HP)
|
100% |
5188
411.5 IPS |
|
|
Object Detection (Q)
|
92% |
4718
376.6 IPS |
|
|
Face Detection (SP)
|
100% |
12340
146.6 IPS |
|
|
Face Detection (HP)
|
100% |
16200
192.5 IPS |
|
|
Face Detection (Q)
|
100% |
13166
156.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
20682
159.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22979
177.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20543
160.6 IPS |
|
|
Style Transfer (SP)
|
100% |
54905
70.6 IPS |
|
|
Style Transfer (HP)
|
100% |
66527
85.5 IPS |
|
|
Style Transfer (Q)
|
96% |
64033
82.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11579
427.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12642
466.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10958
404.6 IPS |
|
|
Text Classification (SP)
|
100% |
2971
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5529
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
1478
25.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1612
27.8 IPS |
