Mac mini (2024)
Geekbench AI Score
4889
Single Precision Score
7939
Half Precision Score
6307
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 13 2025 03:11 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2092
389.0 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.4 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2060
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3158
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3436
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9980
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19412
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16592
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2415
191.6 IPS |
|
|
Object Detection (HP)
|
97% |
3771
300.2 IPS |
|
|
Object Detection (Q)
|
94% |
2669
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
4197
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7627
90.6 IPS |
|
|
Face Detection (Q)
|
100% |
4377
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8396
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13765
106.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9770
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23548
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38509
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31763
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6083
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7170
264.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5008
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5775
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5738
7.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4498
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7649
132.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7368
127.3 IPS |
