Mac mini (2024)
Geekbench AI Score
10709
Single Precision Score
12629
Half Precision Score
11759
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sarcoma |
| Upload Date | May 06 2025 03:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4944
919.5 IPS |
|
|
Image Classification (HP)
|
100% |
5295
984.6 IPS |
|
|
Image Classification (Q)
|
96% |
4966
927.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7752
125.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8590
139.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8260
133.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
30295
35.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32387
37.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
31478
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
5128
406.8 IPS |
|
|
Object Detection (HP)
|
100% |
5677
450.3 IPS |
|
|
Object Detection (Q)
|
92% |
5146
410.8 IPS |
|
|
Face Detection (SP)
|
100% |
12832
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
17145
203.7 IPS |
|
|
Face Detection (Q)
|
100% |
13745
163.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21911
168.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
24364
187.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
22909
179.1 IPS |
|
|
Style Transfer (SP)
|
100% |
60972
78.4 IPS |
|
|
Style Transfer (HP)
|
100% |
72884
93.7 IPS |
|
|
Style Transfer (Q)
|
96% |
69531
89.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13142
485.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14011
517.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12234
451.7 IPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5394
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5344
7.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
4934
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5367
92.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5319
91.9 IPS |
