Mac mini (2024)
Geekbench AI Score
8592
Single Precision Score
10522
Half Precision Score
9511
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | pcworth |
| Upload Date | January 18 2025 01:35 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4786
890.1 IPS |
|
|
Image Classification (HP)
|
100% |
5408
1.01 KIPS |
|
|
Image Classification (Q)
|
97% |
4465
833.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4822
78.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7042
114.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7670
124.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
30068
35.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32257
37.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
30682
36.0 IPS |
|
|
Object Detection (SP)
|
100% |
5029
398.9 IPS |
|
|
Object Detection (HP)
|
100% |
5564
441.3 IPS |
|
|
Object Detection (Q)
|
91% |
4731
378.0 IPS |
|
|
Face Detection (SP)
|
100% |
12878
153.0 IPS |
|
|
Face Detection (HP)
|
100% |
16498
196.0 IPS |
|
|
Face Detection (Q)
|
100% |
12503
148.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21532
165.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
24162
186.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20914
163.5 IPS |
|
|
Style Transfer (SP)
|
100% |
58607
75.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72765
93.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68288
88.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12641
466.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14132
521.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11513
425.1 IPS |
|
|
Text Classification (SP)
|
100% |
3042
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
5433
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5420
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1093
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1094
18.9 IPS |
