Mac mini (2024)
Geekbench AI Score
4696
Single Precision Score
37047
Half Precision Score
53627
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | April 16 2026 03:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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 | 4.39 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1583
294.3 IPS |
|
|
Image Classification (HP)
|
100% |
15995
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
24929
4.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21333
345.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30507
494.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8294
9.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
121882
142.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
229946
269.5 IPS |
|
|
Object Detection (SP)
|
100% |
2262
179.5 IPS |
|
|
Object Detection (HP)
|
100% |
17764
1.41 KIPS |
|
|
Object Detection (Q)
|
89% |
25461
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4096
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
42031
499.4 IPS |
|
|
Face Detection (Q)
|
100% |
66569
791.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7932
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97197
748.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
168943
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21016
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
229226
294.7 IPS |
|
|
Style Transfer (Q)
|
96% |
286641
369.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50734
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85030
3.14 KIPS |
|
|
Text Classification (SP)
|
99% |
6540
8.73 KIPS |
|
|
Text Classification (HP)
|
99% |
10048
13.4 KIPS |
|
|
Text Classification (Q)
|
93% |
10122
13.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
4023
69.3 IPS |
|
|
Machine Translation (HP)
|
100% |
13809
237.9 IPS |
|
|
Machine Translation (Q)
|
98% |
15924
275.2 IPS |
