Mac mini (2024)
Geekbench AI Score
4736
Single Precision Score
36762
Half Precision Score
51756
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ncard00 |
| Upload Date | December 20 2024 08:05 PM |
| Views | 16 |
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% |
2032
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
18142
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
25193
4.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21954
355.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30643
496.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10083
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124032
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
234157
274.4 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
18306
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25991
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3969
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
42931
510.1 IPS |
|
|
Face Detection (Q)
|
100% |
61341
728.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8349
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99414
765.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168926
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25329
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232774
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300542
387.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5883
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49680
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84083
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2933
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6110
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6159
8.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3941
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16531
284.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18201
314.5 IPS |
