Mac mini (2024)
Geekbench AI Score
4954
Single Precision Score
36517
Half Precision Score
51251
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jimmyweee |
| Upload Date | November 14 2025 02:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
17984
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
24299
4.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22208
360.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
30550
495.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10053
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122965
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232424
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.9 IPS |
|
|
Object Detection (HP)
|
100% |
17698
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25760
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4335
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
43275
514.2 IPS |
|
|
Face Detection (Q)
|
100% |
62649
744.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8606
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99675
767.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
164773
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24364
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
233483
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
320949
414.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6051
223.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51724
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82491
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3241
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5666
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5622
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16439
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18311
316.4 IPS |
