Mac mini (2024)
Geekbench AI Score
4403
Single Precision Score
38089
Half Precision Score
54332
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mthocker |
| Upload Date | April 10 2025 11:26 PM |
| Views | 32 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1959
364.3 IPS |
|
|
Image Classification (HP)
|
100% |
18801
3.50 KIPS |
|
|
Image Classification (Q)
|
97% |
28825
5.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22040
357.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30320
491.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8296
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
120866
141.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
228036
267.3 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
19532
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
26852
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3784
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
44833
532.7 IPS |
|
|
Face Detection (Q)
|
100% |
67145
797.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7958
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99538
766.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169448
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
16658
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
235597
302.9 IPS |
|
|
Style Transfer (Q)
|
96% |
301299
388.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5708
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51426
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
92063
3.40 KIPS |
|
|
Text Classification (SP)
|
100% |
2919
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
7109
9.49 KIPS |
|
|
Text Classification (Q)
|
93% |
7091
9.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4219
72.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17095
294.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18719
323.5 IPS |
