Mac mini (2024)
Geekbench AI Score
4791
Single Precision Score
37152
Half Precision Score
52672
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | qqice |
| Upload Date | June 05 2025 07:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2058
382.7 IPS |
|
|
Image Classification (HP)
|
100% |
17829
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
25412
4.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21848
354.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
29985
486.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9887
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123237
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232122
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2433
193.0 IPS |
|
|
Object Detection (HP)
|
100% |
18827
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
27042
2.16 KIPS |
|
|
Face Detection (SP)
|
100% |
4189
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
44567
529.6 IPS |
|
|
Face Detection (Q)
|
100% |
63082
749.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8599
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
100039
770.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
172487
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
21488
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233813
300.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298848
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6061
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50164
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87612
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6465
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6564
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4376
75.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16397
282.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18377
317.6 IPS |
