Mac mini (2024)
Geekbench AI Score
4856
Single Precision Score
7947
Half Precision Score
6425
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jobieh |
| Upload Date | June 20 2025 06:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2106
391.7 IPS |
|
|
Image Classification (HP)
|
100% |
3301
613.8 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2156
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3230
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3676
59.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9930
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19378
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16748
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.3 IPS |
|
|
Object Detection (HP)
|
97% |
3828
304.8 IPS |
|
|
Object Detection (Q)
|
94% |
2754
219.5 IPS |
|
|
Face Detection (SP)
|
100% |
4370
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
7716
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4487
53.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8717
67.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14772
114.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10391
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21683
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38954
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32291
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6093
225.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7099
262.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5010
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5442
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5530
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4406
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7408
128.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7301
126.2 IPS |
