Mac mini (2024)
Geekbench AI Score
4684
Single Precision Score
36789
Half Precision Score
51804
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | mvodya |
| Upload Date | March 09 2025 11:11 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | Mac mini (2024) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1995
371.0 IPS |
|
|
Image Classification (HP)
|
100% |
18330
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
25508
4.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21217
344.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30150
488.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10056
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124043
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233369
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2242
177.9 IPS |
|
|
Object Detection (HP)
|
100% |
18237
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25918
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
3885
46.2 IPS |
|
|
Face Detection (HP)
|
100% |
43318
514.7 IPS |
|
|
Face Detection (Q)
|
100% |
61125
726.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8257
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99380
765.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
171659
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25206
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
233692
300.4 IPS |
|
|
Style Transfer (Q)
|
96% |
299983
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5882
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49704
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86124
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2949
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6279
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6123
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3857
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18029
311.6 IPS |
