Mac mini (2024)
Geekbench AI Score
4745
Single Precision Score
36636
Half Precision Score
51407
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | March 15 2025 07:58 AM |
| Views | 5 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
17803
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
24898
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22003
356.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30236
490.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123904
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
232967
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2297
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
18124
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25627
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4012
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
43188
513.2 IPS |
|
|
Face Detection (Q)
|
100% |
61406
729.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8383
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99148
763.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168685
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25411
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232973
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
298051
384.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5810
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49546
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84573
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6122
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6106
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3878
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16369
282.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17988
310.8 IPS |
