Mac mini (2024)
Geekbench AI Score
4960
Single Precision Score
8035
Half Precision Score
6458
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | jobieh |
| Upload Date | August 01 2025 02:56 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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% |
2103
391.2 IPS |
|
|
Image Classification (HP)
|
100% |
3400
632.2 IPS |
|
|
Image Classification (Q)
|
96% |
2369
442.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3172
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3562
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10028
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19422
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16742
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.1 IPS |
|
|
Object Detection (HP)
|
97% |
3796
302.2 IPS |
|
|
Object Detection (Q)
|
94% |
2749
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
4328
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
7847
93.2 IPS |
|
|
Face Detection (Q)
|
100% |
4503
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8585
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13973
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9912
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24449
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39325
50.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32280
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6037
222.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7091
261.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4951
182.8 IPS |
|
|
Text Classification (SP)
|
100% |
3278
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5688
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5627
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4536
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8117
140.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8104
140.0 IPS |
