Mac mini (2024)
Geekbench AI Score
4737
Single Precision Score
36705
Half Precision Score
51484
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | TheKenLim |
| Upload Date | February 23 2025 01:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2047
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
17914
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
24865
4.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21862
354.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
28683
465.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10035
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123578
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
233922
274.2 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
18595
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26091
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3980
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
43321
514.8 IPS |
|
|
Face Detection (Q)
|
100% |
61743
733.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8416
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99355
765.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
170541
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25434
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233989
300.8 IPS |
|
|
Style Transfer (Q)
|
96% |
299802
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5778
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49069
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85275
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2954
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6102
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6214
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16360
281.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17969
310.5 IPS |
