Mac mini (2024)
Geekbench AI Score
4799
Single Precision Score
7863
Half Precision Score
6303
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | qqice |
| Upload Date | June 05 2025 07:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
3358
624.6 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3194
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3582
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9876
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19400
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16586
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
97% |
3782
301.1 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
4158
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
7359
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
4316
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8582
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14534
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10194
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21535
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38363
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31646
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6058
223.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7084
261.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5006
184.8 IPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5484
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5414
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4385
75.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7208
124.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7126
123.2 IPS |
