Mac mini (2024)
Geekbench AI Score
4840
Single Precision Score
7978
Half Precision Score
6423
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | shiftHappens |
| Upload Date | June 12 2025 09:04 AM |
| Views | 1 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2097
390.0 IPS |
|
|
Image Classification (HP)
|
100% |
3348
622.6 IPS |
|
|
Image Classification (Q)
|
96% |
2338
436.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3152
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3598
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9868
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19372
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16759
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2461
195.2 IPS |
|
|
Object Detection (HP)
|
97% |
3833
305.1 IPS |
|
|
Object Detection (Q)
|
94% |
2742
218.5 IPS |
|
|
Face Detection (SP)
|
100% |
4387
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
7754
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
4507
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8741
67.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14768
114.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10405
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21721
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38805
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32210
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7229
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4982
184.0 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5692
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5550
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4346
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7292
126.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7411
128.1 IPS |
