Mac mini (2024)
Geekbench AI Score
4721
Single Precision Score
37124
Half Precision Score
52688
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | February 20 2025 08:13 AM |
| Views | 13 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2038
379.0 IPS |
|
|
Image Classification (HP)
|
100% |
18186
3.38 KIPS |
|
|
Image Classification (Q)
|
97% |
26012
4.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21876
354.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30367
492.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10058
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123568
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
233227
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.8 IPS |
|
|
Object Detection (HP)
|
100% |
18780
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
25969
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3993
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
44138
524.5 IPS |
|
|
Face Detection (Q)
|
100% |
55157
655.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8392
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
100415
773.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
172195
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25373
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232963
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
297668
384.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5776
213.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50804
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87833
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6235
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
7686
10.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16468
283.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18057
312.1 IPS |
