Mac mini (2024)
Geekbench AI Score
9734
Single Precision Score
11779
Half Precision Score
10812
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | gastaro |
| Upload Date | April 28 2025 05:33 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
4273
794.7 IPS |
|
|
Image Classification (HP)
|
100% |
4780
888.9 IPS |
|
|
Image Classification (Q)
|
96% |
4587
856.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7052
114.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8035
130.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7657
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
27884
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
30879
36.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
29316
34.3 IPS |
|
|
Object Detection (SP)
|
100% |
4382
347.6 IPS |
|
|
Object Detection (HP)
|
100% |
5140
407.7 IPS |
|
|
Object Detection (Q)
|
92% |
4625
369.2 IPS |
|
|
Face Detection (SP)
|
100% |
11429
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
15417
183.2 IPS |
|
|
Face Detection (Q)
|
100% |
12194
144.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
19793
152.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22805
175.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
20256
158.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57716
74.2 IPS |
|
|
Style Transfer (HP)
|
100% |
68772
88.4 IPS |
|
|
Style Transfer (Q)
|
96% |
65672
84.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11821
436.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12581
464.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10742
396.7 IPS |
|
|
Text Classification (SP)
|
100% |
2946
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5583
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5421
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
4563
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4969
85.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4855
83.9 IPS |
