Mac mini (2024)
Geekbench AI Score
4823
Single Precision Score
37512
Half Precision Score
52707
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 28 2025 06:02 AM |
| Views | 10 |
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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
17363
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
26053
4.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22074
357.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
29175
472.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9911
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123406
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
232154
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
18504
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26235
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4253
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
44730
531.5 IPS |
|
|
Face Detection (Q)
|
100% |
66709
792.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8676
66.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99577
767.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
171830
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21548
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234893
302.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300010
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50309
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86829
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
2916
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
7268
9.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6494
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4391
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16481
283.9 IPS |
|
|
Machine Translation (Q)
|
98% |
18434
318.6 IPS |
