Mac mini (2024)
Geekbench AI Score
5714
Single Precision Score
37841
Half Precision Score
50586
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | mkennedy |
| Upload Date | December 29 2025 12:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2134
396.8 IPS |
|
|
Image Classification (HP)
|
100% |
17786
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
21575
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23746
384.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
33679
546.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17387
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122405
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230623
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2528
200.5 IPS |
|
|
Object Detection (HP)
|
100% |
21316
1.69 KIPS |
|
|
Object Detection (Q)
|
91% |
24783
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4844
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
43485
516.7 IPS |
|
|
Face Detection (Q)
|
100% |
63171
750.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8630
66.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
112046
863.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
175703
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
30242
38.9 IPS |
|
|
Style Transfer (HP)
|
100% |
237422
305.2 IPS |
|
|
Style Transfer (Q)
|
96% |
327121
422.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7077
261.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50237
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79572
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3255
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5694
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5600
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5907
101.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16514
284.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16330
282.2 IPS |
