Mac mini (2024)
Geekbench AI Score
4743
Single Precision Score
37190
Half Precision Score
51912
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jonathanmiranda |
| Upload Date | April 09 2025 03:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2053
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
18509
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
25711
4.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22033
357.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30173
489.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9955
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123732
144.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
234339
274.7 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (HP)
|
100% |
18608
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26034
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4062
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
44611
530.1 IPS |
|
|
Face Detection (Q)
|
100% |
56399
670.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8411
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101030
778.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
172491
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25329
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
234162
301.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299549
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5740
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49631
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89532
3.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6258
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6239
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16445
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18450
318.8 IPS |
