Mac mini (2024)
Geekbench AI Score
4716
Single Precision Score
36869
Half Precision Score
52062
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | January 25 2025 04:45 PM |
| Views | 18 |
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% |
2042
379.8 IPS |
|
|
Image Classification (HP)
|
100% |
17235
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
27560
5.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21909
355.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30077
487.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10033
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123861
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232543
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2284
181.1 IPS |
|
|
Object Detection (HP)
|
100% |
18694
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26220
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
43466
516.5 IPS |
|
|
Face Detection (Q)
|
100% |
55886
664.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8351
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99308
765.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
173056
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
25338
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233484
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298979
385.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5783
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49455
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86624
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
6476
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6151
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16446
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18788
324.7 IPS |
