Mac mini (2024)
Geekbench AI Score
4667
Single Precision Score
37202
Half Precision Score
52144
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 18 2025 12:26 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
18255
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
26280
4.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21998
356.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30291
491.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9878
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
123862
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232235
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.3 IPS |
|
|
Object Detection (HP)
|
100% |
18718
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26703
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3881
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
43507
517.0 IPS |
|
|
Face Detection (Q)
|
100% |
58068
690.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8319
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99722
768.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
172560
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25171
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
236155
303.6 IPS |
|
|
Style Transfer (Q)
|
96% |
300550
387.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5735
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51035
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85859
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6342
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6367
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3877
66.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16448
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18287
316.0 IPS |
