Mac mini (2024)
Geekbench AI Score
4669
Single Precision Score
37877
Half Precision Score
53859
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ShaneOGrady |
| Upload Date | June 24 2025 03:24 PM |
| Views | 2 |
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% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
18210
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
27920
5.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21977
356.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30335
491.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9482
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122778
143.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
230977
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
100% |
18970
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
27450
2.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3845
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
44207
525.3 IPS |
|
|
Face Detection (Q)
|
100% |
63967
760.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8611
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99820
769.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
169932
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
20961
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
235792
303.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298033
384.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5986
221.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51087
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89445
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
2974
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
7469
9.97 KIPS |
|
|
Text Classification (Q)
|
93% |
7275
9.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4029
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16425
282.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18147
313.6 IPS |
