Mac16,13
Geekbench AI Score
4748
Single Precision Score
7787
Half Precision Score
6324
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | March 12 2025 02:14 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2028
377.1 IPS |
|
|
Image Classification (HP)
|
100% |
3263
606.8 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3141
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3615
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9944
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19090
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16497
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2282
181.0 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2708
215.8 IPS |
|
|
Face Detection (SP)
|
100% |
3952
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7375
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
4482
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14605
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10212
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25179
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38203
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31776
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5884
217.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6818
251.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4786
176.7 IPS |
|
|
Text Classification (SP)
|
100% |
3139
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
5604
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3957
68.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7088
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7068
122.1 IPS |
