Mac mini (2024)
Geekbench AI Score
9966
Single Precision Score
11600
Half Precision Score
11077
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ShaneOGrady |
| Upload Date | June 24 2025 03:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
4733
880.3 IPS |
|
|
Image Classification (HP)
|
100% |
5073
943.5 IPS |
|
|
Image Classification (Q)
|
96% |
4728
882.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7551
122.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8204
133.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7940
128.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
29815
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31893
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31476
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4856
385.2 IPS |
|
|
Object Detection (HP)
|
100% |
5471
434.0 IPS |
|
|
Object Detection (Q)
|
92% |
5172
412.8 IPS |
|
|
Face Detection (SP)
|
100% |
12844
152.6 IPS |
|
|
Face Detection (HP)
|
100% |
16189
192.4 IPS |
|
|
Face Detection (Q)
|
100% |
13795
163.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21540
166.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23156
178.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
21761
170.0 IPS |
|
|
Style Transfer (SP)
|
100% |
59337
76.3 IPS |
|
|
Style Transfer (HP)
|
100% |
71078
91.4 IPS |
|
|
Style Transfer (Q)
|
96% |
69192
89.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12703
469.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12451
459.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11162
412.1 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5380
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5289
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3058
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3405
58.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3713
64.2 IPS |
