Mac mini (2024)
Geekbench AI Score
7861
Single Precision Score
9603
Half Precision Score
8908
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | September 07 2025 04:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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 | 2.09 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4252
790.8 IPS |
|
|
Image Classification (HP)
|
100% |
4439
825.6 IPS |
|
|
Image Classification (Q)
|
96% |
3912
730.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6468
104.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7532
122.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7463
121.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20259
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
22414
26.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
21791
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
3633
288.1 IPS |
|
|
Object Detection (HP)
|
100% |
4434
351.7 IPS |
|
|
Object Detection (Q)
|
92% |
4578
365.4 IPS |
|
|
Face Detection (SP)
|
100% |
10414
123.7 IPS |
|
|
Face Detection (HP)
|
100% |
15626
185.7 IPS |
|
|
Face Detection (Q)
|
100% |
12220
145.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17600
135.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
20935
161.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
17983
140.5 IPS |
|
|
Style Transfer (SP)
|
100% |
55539
71.4 IPS |
|
|
Style Transfer (HP)
|
100% |
68151
87.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64099
82.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11449
422.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11331
418.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10147
374.7 IPS |
|
|
Text Classification (SP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (HP)
|
99% |
3122
4.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3111
4.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2067
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2547
43.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2430
42.0 IPS |
