Mac16,13
Geekbench AI Score
4934
Single Precision Score
36032
Half Precision Score
51139
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | maxxx |
| Upload Date | December 11 2025 11:53 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2096
389.9 IPS |
|
|
Image Classification (HP)
|
100% |
16676
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
25463
4.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2050
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22198
359.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30661
497.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10102
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122647
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232890
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
17741
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25776
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4265
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
43009
511.0 IPS |
|
|
Face Detection (Q)
|
100% |
59967
712.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8521
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99186
764.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
163551
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24578
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232590
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
318940
411.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6108
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51265
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84014
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5515
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4559
78.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16326
281.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18025
311.5 IPS |
