Mac mini (2024)
Geekbench AI Score
4822
Single Precision Score
7895
Half Precision Score
6380
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 26 2025 06:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2047
380.6 IPS |
|
|
Image Classification (HP)
|
100% |
3324
618.1 IPS |
|
|
Image Classification (Q)
|
96% |
2336
436.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3127
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3644
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9964
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19425
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16755
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
97% |
3836
305.4 IPS |
|
|
Object Detection (Q)
|
94% |
2753
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
4340
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7602
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4507
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8756
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14822
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10413
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21704
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38963
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32237
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6069
224.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7293
269.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5012
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5235
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5222
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
4356
75.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7253
125.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7187
124.2 IPS |
