Mac mini (2024)
Geekbench AI Score
4688
Single Precision Score
38299
Half Precision Score
55568
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | December 02 2024 11:07 PM |
| Views | 41 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2082) |
| 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% |
1994
370.9 IPS |
|
|
Image Classification (HP)
|
100% |
19355
3.60 KIPS |
|
|
Image Classification (Q)
|
97% |
30027
5.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21689
351.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30008
486.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9916
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
124170
144.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
234585
274.9 IPS |
|
|
Object Detection (SP)
|
100% |
2278
180.7 IPS |
|
|
Object Detection (HP)
|
100% |
19104
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
26937
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3836
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
42503
505.0 IPS |
|
|
Face Detection (Q)
|
100% |
64408
765.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8174
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100566
774.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
173436
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24743
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
235883
303.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298508
385.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5825
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51218
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
94987
3.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3100
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
7991
10.7 KIPS |
|
|
Text Classification (Q)
|
93% |
8425
11.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
3855
66.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16527
284.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18478
319.3 IPS |
