Mac mini (2024)
Geekbench AI Score
4828
Single Precision Score
37322
Half Precision Score
53041
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 05:22 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2080
386.8 IPS |
|
|
Image Classification (HP)
|
100% |
18104
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
26125
4.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22780
369.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
31158
505.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9897
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
124399
145.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
235234
275.7 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
19321
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
27554
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4004
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
44647
530.5 IPS |
|
|
Face Detection (Q)
|
100% |
64478
766.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8325
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100498
774.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
172789
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
23118
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
239132
307.4 IPS |
|
|
Style Transfer (Q)
|
96% |
326610
421.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5938
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54289
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
91140
3.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5698
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5688
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4319
74.4 IPS |
|
|
Machine Translation (HP)
|
100% |
15942
274.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17710
306.0 IPS |
