Mac mini (2024)
Geekbench AI Score
4724
Single Precision Score
37657
Half Precision Score
53427
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Vinpeom |
| Upload Date | December 20 2024 03:59 PM |
| Views | 14 |
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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
18618
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
27680
5.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21904
355.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30306
491.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10038
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
124113
144.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232811
272.9 IPS |
|
|
Object Detection (SP)
|
100% |
2296
182.1 IPS |
|
|
Object Detection (HP)
|
100% |
19316
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26531
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3966
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
44219
525.4 IPS |
|
|
Face Detection (Q)
|
100% |
61360
729.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8335
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99815
769.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
171907
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25378
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
237488
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
299941
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5860
216.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50361
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88799
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6673
8.91 KIPS |
|
|
Text Classification (Q)
|
93% |
7105
9.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16651
286.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18323
316.6 IPS |
