Mac mini (2024)
Geekbench AI Score
4759
Single Precision Score
7755
Half Precision Score
6289
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | February 03 2026 11:30 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
3347
622.5 IPS |
|
|
Image Classification (Q)
|
96% |
2285
426.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2621
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3365
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9606
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19110
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16379
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2199
174.4 IPS |
|
|
Object Detection (HP)
|
97% |
3710
295.3 IPS |
|
|
Object Detection (Q)
|
94% |
2628
209.5 IPS |
|
|
Face Detection (SP)
|
100% |
4069
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
7412
88.1 IPS |
|
|
Face Detection (Q)
|
100% |
4271
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8285
63.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13781
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9675
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22663
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38208
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31093
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5876
217.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7042
260.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4962
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3356
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
6089
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5945
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
4404
75.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7568
130.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7717
133.4 IPS |
