Mac mini (2024)
Geekbench AI Score
4958
Single Precision Score
36407
Half Precision Score
51446
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 25 2025 05:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2129
396.0 IPS |
|
|
Image Classification (HP)
|
100% |
17208
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
24018
4.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22288
361.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30577
495.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10071
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123179
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232654
272.7 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
17976
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26294
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4329
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
43077
511.9 IPS |
|
|
Face Detection (Q)
|
100% |
61544
731.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8608
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100597
775.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
171055
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24332
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
230736
296.6 IPS |
|
|
Style Transfer (Q)
|
96% |
321466
414.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6038
223.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51985
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84728
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5587
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5513
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4575
78.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16592
285.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18288
316.0 IPS |
