Mac mini (2024)
Geekbench AI Score
9853
Single Precision Score
11505
Half Precision Score
10853
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | aamato |
| Upload Date | January 04 2026 02:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4766
886.2 IPS |
|
|
Image Classification (HP)
|
100% |
5161
959.8 IPS |
|
|
Image Classification (Q)
|
96% |
4785
893.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7600
123.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8057
130.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7696
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29718
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31849
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31496
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4871
386.4 IPS |
|
|
Object Detection (HP)
|
100% |
5461
433.2 IPS |
|
|
Object Detection (Q)
|
92% |
5045
402.7 IPS |
|
|
Face Detection (SP)
|
100% |
12873
153.0 IPS |
|
|
Face Detection (HP)
|
100% |
16278
193.4 IPS |
|
|
Face Detection (Q)
|
100% |
13790
163.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21634
166.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23397
180.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
21486
167.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59655
76.7 IPS |
|
|
Style Transfer (HP)
|
100% |
71192
91.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68918
88.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12612
465.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12470
460.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11140
411.4 IPS |
|
|
Text Classification (SP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5341
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5432
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2669
46.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3137
54.2 IPS |
