Mac mini (2024)
Geekbench AI Score
4813
Single Precision Score
37120
Half Precision Score
52311
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | hytham |
| Upload Date | July 06 2025 10:52 AM |
| Views | 9 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
18252
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
25951
4.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21112
342.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30175
489.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9965
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123240
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
231727
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
18946
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26421
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4182
49.7 IPS |
|
|
Face Detection (HP)
|
100% |
44374
527.3 IPS |
|
|
Face Detection (Q)
|
100% |
63248
751.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8610
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99580
767.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
168989
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21772
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232403
298.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299586
386.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6115
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50038
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84834
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6530
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6452
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4375
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16454
283.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18263
315.6 IPS |
