Mac mini (2024)
Geekbench AI Score
4828
Single Precision Score
36511
Half Precision Score
51641
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 26 2025 07:04 PM |
| Views | 4 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2100
390.5 IPS |
|
|
Image Classification (HP)
|
100% |
17596
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
25449
4.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21337
345.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29701
481.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9966
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122875
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
232025
271.9 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
18409
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26245
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4299
51.1 IPS |
|
|
Face Detection (HP)
|
100% |
40741
484.1 IPS |
|
|
Face Detection (Q)
|
100% |
57629
684.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8756
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99733
768.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168926
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21688
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
232157
298.4 IPS |
|
|
Style Transfer (Q)
|
96% |
300243
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6106
225.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50011
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84204
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2870
3.83 KIPS |
|
|
Text Classification (HP)
|
100% |
6297
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6491
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16688
287.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18345
317.0 IPS |
