Mac mini (2024)
Geekbench AI Score
4778
Single Precision Score
7873
Half Precision Score
6268
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | aamato |
| Upload Date | January 04 2026 02:16 PM |
| Views | 9 |
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% |
2066
384.2 IPS |
|
|
Image Classification (HP)
|
100% |
3315
616.4 IPS |
|
|
Image Classification (Q)
|
96% |
2321
433.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2064
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3166
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3567
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9819
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19350
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16627
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2432
192.9 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
4198
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7522
89.4 IPS |
|
|
Face Detection (Q)
|
100% |
4334
51.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8600
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14556
112.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10240
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21468
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38116
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29511
38.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6047
223.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7185
265.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5012
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5550
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4386
75.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7230
124.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6990
120.8 IPS |
