Mac mini (2024)
Geekbench AI Score
4902
Single Precision Score
36098
Half Precision Score
50826
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | gtuck |
| Upload Date | December 03 2025 07:49 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2088
388.3 IPS |
|
|
Image Classification (HP)
|
100% |
16963
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
23342
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22235
360.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30650
496.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9992
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123412
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232425
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.0 IPS |
|
|
Object Detection (HP)
|
100% |
17476
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25896
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4257
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
43206
513.4 IPS |
|
|
Face Detection (Q)
|
100% |
60767
722.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8467
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98979
762.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
164047
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24260
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234281
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
321415
414.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52220
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85642
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3171
4.23 KIPS |
|
|
Text Classification (HP)
|
99% |
5375
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5442
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4539
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16427
283.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17892
309.2 IPS |
