Mac mini (2024)
Geekbench AI Score
4608
Single Precision Score
36942
Half Precision Score
51839
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 21 2025 01:19 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2030
377.5 IPS |
|
|
Image Classification (HP)
|
100% |
17849
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
26027
4.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21928
355.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30106
488.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9610
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122491
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230836
270.6 IPS |
|
|
Object Detection (SP)
|
100% |
2429
192.7 IPS |
|
|
Object Detection (HP)
|
100% |
18673
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26013
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3998
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
44472
528.4 IPS |
|
|
Face Detection (Q)
|
100% |
60256
716.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8198
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98998
762.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
168080
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
19577
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233289
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297791
384.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5812
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50140
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87241
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
7217
9.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6667
8.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4100
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
14230
245.1 IPS |
|
|
Machine Translation (Q)
|
98% |
16980
293.4 IPS |
