Mac mini (2024)
Geekbench AI Score
9219
Single Precision Score
11179
Half Precision Score
10116
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | libc |
| Upload Date | March 12 2025 07:38 AM |
| Views | 5 |
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% |
4716
877.1 IPS |
|
|
Image Classification (HP)
|
100% |
5091
946.8 IPS |
|
|
Image Classification (Q)
|
97% |
4454
831.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4785
77.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6979
113.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7569
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29726
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31947
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
30417
35.7 IPS |
|
|
Object Detection (SP)
|
100% |
4911
389.5 IPS |
|
|
Object Detection (HP)
|
100% |
5520
437.9 IPS |
|
|
Object Detection (Q)
|
91% |
4743
379.0 IPS |
|
|
Face Detection (SP)
|
100% |
12730
151.3 IPS |
|
|
Face Detection (HP)
|
100% |
16739
198.9 IPS |
|
|
Face Detection (Q)
|
100% |
12238
145.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
21700
167.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24467
188.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20707
161.9 IPS |
|
|
Style Transfer (SP)
|
100% |
59830
76.9 IPS |
|
|
Style Transfer (HP)
|
100% |
71724
92.2 IPS |
|
|
Style Transfer (Q)
|
96% |
68160
88.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13184
486.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14052
518.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11305
417.5 IPS |
|
|
Text Classification (SP)
|
100% |
3005
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5366
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5387
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2058
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2197
37.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2195
37.9 IPS |
