Mac mini (2024)
Geekbench AI Score
4690
Single Precision Score
37016
Half Precision Score
52771
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ItoMeasured10 |
| Upload Date | June 25 2025 05:38 PM |
| Views | 10 |
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% |
2026
376.8 IPS |
|
|
Image Classification (HP)
|
100% |
17803
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
26023
4.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2087
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22206
360.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30411
493.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9545
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123260
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230539
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2435
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
18615
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26267
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4075
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
44187
525.0 IPS |
|
|
Face Detection (Q)
|
100% |
63682
756.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8542
65.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99337
765.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
168345
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
20420
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235700
303.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300104
387.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5851
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49266
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86477
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6517
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6981
9.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
4328
74.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16029
276.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17995
311.0 IPS |
