Mac mini (2024)
Geekbench AI Score
8705
Single Precision Score
10566
Half Precision Score
9451
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iGeneration |
| Upload Date | December 30 2024 11:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
4654
865.5 IPS |
|
|
Image Classification (HP)
|
100% |
5008
931.4 IPS |
|
|
Image Classification (Q)
|
97% |
4521
843.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4939
80.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7016
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7618
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29761
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32102
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30558
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5015
397.8 IPS |
|
|
Object Detection (HP)
|
100% |
5473
434.1 IPS |
|
|
Object Detection (Q)
|
91% |
4677
373.7 IPS |
|
|
Face Detection (SP)
|
100% |
12820
152.3 IPS |
|
|
Face Detection (HP)
|
100% |
16384
194.7 IPS |
|
|
Face Detection (Q)
|
100% |
11686
138.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21515
165.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23606
181.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
20111
157.2 IPS |
|
|
Style Transfer (SP)
|
100% |
58840
75.6 IPS |
|
|
Style Transfer (HP)
|
100% |
71944
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68177
88.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12316
454.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13739
507.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10746
396.8 IPS |
|
|
Text Classification (SP)
|
100% |
3018
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5614
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5390
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1245
21.5 IPS |
