Mac mini (2024)
Geekbench AI Score
4850
Single Precision Score
36836
Half Precision Score
53112
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | callearvid |
| Upload Date | November 29 2025 03:50 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
2100
390.6 IPS |
|
|
Image Classification (HP)
|
100% |
17404
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
25440
4.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21877
354.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30528
494.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9905
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123214
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232222
272.2 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
18386
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26005
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4345
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
44666
530.7 IPS |
|
|
Face Detection (Q)
|
100% |
63925
759.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8755
67.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99892
769.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
169801
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21884
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232263
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298883
385.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6089
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49733
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85411
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6192
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
7489
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4405
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16711
287.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18355
317.2 IPS |
