Mac mini (2024)
Geekbench AI Score
9882
Single Precision Score
11819
Half Precision Score
11191
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Faust1977 |
| Upload Date | November 05 2025 09:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4779
888.8 IPS |
|
|
Image Classification (HP)
|
100% |
5223
971.3 IPS |
|
|
Image Classification (Q)
|
96% |
4664
870.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7553
122.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8203
133.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
7966
129.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28746
33.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
33132
38.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
32178
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4898
388.5 IPS |
|
|
Object Detection (HP)
|
100% |
5425
430.3 IPS |
|
|
Object Detection (Q)
|
92% |
5047
402.8 IPS |
|
|
Face Detection (SP)
|
100% |
12857
152.8 IPS |
|
|
Face Detection (HP)
|
100% |
17065
202.8 IPS |
|
|
Face Detection (Q)
|
100% |
13888
165.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21004
161.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23631
182.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
21618
168.9 IPS |
|
|
Style Transfer (SP)
|
100% |
60127
77.3 IPS |
|
|
Style Transfer (HP)
|
100% |
73031
93.9 IPS |
|
|
Style Transfer (Q)
|
96% |
70119
90.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12038
444.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12443
459.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10841
400.3 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5959
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5796
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3165
54.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3862
66.7 IPS |
