Mac mini (M4) Neural Engine Mac16,10
Geekbench AI Score
4753
Single Precision Score
36567
Half Precision Score
50758
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 19 2024 11:44 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,10 |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| 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% |
2051
381.5 IPS |
|
|
Image Classification (HP)
|
100% |
17320
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
24136
4.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21221
344.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30151
488.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10053
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123976
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233629
273.8 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
18663
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26840
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
4038
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
43490
516.8 IPS |
|
|
Face Detection (Q)
|
100% |
61485
730.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8434
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99183
764.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
169434
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25448
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234214
301.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300618
387.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5746
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49479
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84869
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3033
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
6114
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5176
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
3886
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16448
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18085
312.5 IPS |
