Mac mini (2024)
Geekbench AI Score
4758
Single Precision Score
36822
Half Precision Score
52039
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 12 2025 05:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
18119
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
25118
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22133
358.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30326
491.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10084
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
124411
145.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
234047
274.3 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
18668
1.48 KIPS |
|
|
Object Detection (Q)
|
91% |
26374
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
4094
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
40999
487.2 IPS |
|
|
Face Detection (Q)
|
100% |
62015
736.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8445
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99907
769.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169872
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25520
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234254
301.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300221
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5778
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49714
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85883
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2929
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
6244
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6182
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3955
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16519
284.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18450
318.8 IPS |
