Mac16,13
Geekbench AI Score
4711
Single Precision Score
36761
Half Precision Score
52256
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | March 07 2025 08:02 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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% |
2021
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
18434
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
28715
5.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21893
354.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29079
471.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9902
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123527
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232981
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2266
179.8 IPS |
|
|
Object Detection (HP)
|
100% |
18782
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26068
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3856
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
38788
460.9 IPS |
|
|
Face Detection (Q)
|
100% |
55960
664.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8311
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100007
770.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170867
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25135
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233536
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296896
383.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5857
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49469
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87091
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
6375
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6566
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3908
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16850
290.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18446
318.8 IPS |
