Mac mini (2024)
Geekbench AI Score
4762
Single Precision Score
37336
Half Precision Score
53331
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | aamato |
| Upload Date | January 04 2026 02:18 PM |
| Views | 6 |
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% |
2040
379.4 IPS |
|
|
Image Classification (HP)
|
100% |
18086
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
29040
5.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21393
346.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
29228
473.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9793
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123054
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231510
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
18892
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26352
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4106
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
44667
530.7 IPS |
|
|
Face Detection (Q)
|
100% |
63964
760.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8557
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99955
770.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
172258
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
21289
27.4 IPS |
|
|
Style Transfer (HP)
|
100% |
235792
303.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300959
388.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50948
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89098
3.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6719
8.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6762
9.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4371
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16239
279.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17992
310.9 IPS |
