Mac mini (2024)
Geekbench AI Score
8511
Single Precision Score
10417
Half Precision Score
9518
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | February 21 2025 12:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4677
869.9 IPS |
|
|
Image Classification (HP)
|
100% |
5005
930.8 IPS |
|
|
Image Classification (Q)
|
97% |
4443
829.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4992
80.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7088
114.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7724
125.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29971
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32127
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30585
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4160
330.0 IPS |
|
|
Object Detection (HP)
|
100% |
5508
436.9 IPS |
|
|
Object Detection (Q)
|
91% |
4699
375.5 IPS |
|
|
Face Detection (SP)
|
100% |
13124
155.9 IPS |
|
|
Face Detection (HP)
|
100% |
16103
191.3 IPS |
|
|
Face Detection (Q)
|
100% |
12501
148.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21952
169.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24095
185.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20401
159.5 IPS |
|
|
Style Transfer (SP)
|
100% |
60559
77.8 IPS |
|
|
Style Transfer (HP)
|
100% |
72073
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
68278
88.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12817
473.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13726
506.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10764
397.5 IPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5471
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5423
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1218
21.0 IPS |
