Mac mini (2024)
Geekbench AI Score
8515
Single Precision Score
10362
Half Precision Score
9422
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jordan41902348 |
| Upload Date | February 06 2025 08:38 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
4733
880.2 IPS |
|
|
Image Classification (HP)
|
100% |
5052
939.6 IPS |
|
|
Image Classification (Q)
|
97% |
4487
837.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4860
78.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6978
113.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7616
123.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
29922
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32111
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30580
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4992
396.0 IPS |
|
|
Object Detection (HP)
|
100% |
5468
433.7 IPS |
|
|
Object Detection (Q)
|
91% |
4695
375.1 IPS |
|
|
Face Detection (SP)
|
100% |
12853
152.7 IPS |
|
|
Face Detection (HP)
|
100% |
16230
192.8 IPS |
|
|
Face Detection (Q)
|
100% |
12355
146.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21579
166.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23841
183.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
20398
159.4 IPS |
|
|
Style Transfer (SP)
|
100% |
58445
75.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72178
92.8 IPS |
|
|
Style Transfer (Q)
|
96% |
68129
87.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12477
460.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13577
501.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11093
409.6 IPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5673
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5537
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1066
18.4 IPS |
