Mac mini (2024)
Geekbench AI Score
4891
Single Precision Score
37434
Half Precision Score
52865
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Yukon |
| Upload Date | October 18 2025 10:46 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2041
379.6 IPS |
|
|
Image Classification (HP)
|
100% |
18794
3.50 KIPS |
|
|
Image Classification (Q)
|
97% |
27179
5.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22510
364.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31047
503.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9926
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
120906
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
229006
268.4 IPS |
|
|
Object Detection (SP)
|
100% |
2392
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
19539
1.55 KIPS |
|
|
Object Detection (Q)
|
91% |
27267
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
4145
49.3 IPS |
|
|
Face Detection (HP)
|
100% |
43909
521.7 IPS |
|
|
Face Detection (Q)
|
100% |
64109
761.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8337
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
98613
759.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167347
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23993
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
235587
302.8 IPS |
|
|
Style Transfer (Q)
|
96% |
316791
408.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6052
223.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51192
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82961
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3338
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5942
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5912
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
4549
78.4 IPS |
|
|
Machine Translation (HP)
|
100% |
17425
300.1 IPS |
|
|
Machine Translation (Q)
|
98% |
19411
335.5 IPS |
