Mac mini (2024)
Geekbench AI Score
4679
Single Precision Score
37224
Half Precision Score
52788
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | libc |
| Upload Date | March 12 2025 07:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1990
370.1 IPS |
|
|
Image Classification (HP)
|
100% |
18490
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
27406
5.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22031
357.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30295
491.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9835
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
124029
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232573
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2281
180.9 IPS |
|
|
Object Detection (HP)
|
100% |
19072
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26552
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3933
46.7 IPS |
|
|
Face Detection (HP)
|
100% |
43266
514.1 IPS |
|
|
Face Detection (Q)
|
100% |
62702
745.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8376
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
99292
765.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
171314
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25120
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
236747
304.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299412
386.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5707
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50678
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86536
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6565
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6824
9.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3891
67.0 IPS |
|
|
Machine Translation (HP)
|
100% |
15668
269.9 IPS |
|
|
Machine Translation (Q)
|
98% |
17257
298.2 IPS |
