Mac mini (2024)
Geekbench AI Score
4737
Single Precision Score
36857
Half Precision Score
51989
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jamesneill |
| Upload Date | December 28 2024 12:51 PM |
| Views | 3 |
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% |
2018
375.3 IPS |
|
|
Image Classification (HP)
|
100% |
18526
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
26701
4.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
22131
358.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30340
491.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10053
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123826
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233031
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2305
182.9 IPS |
|
|
Object Detection (HP)
|
100% |
18412
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26409
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
43123
512.4 IPS |
|
|
Face Detection (Q)
|
100% |
61085
725.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8413
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99143
763.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169087
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25468
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232085
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
298094
384.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49511
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83710
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6115
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6173
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3944
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16478
283.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18186
314.3 IPS |
