Mac mini (2024)
Geekbench AI Score
11207
Single Precision Score
13254
Half Precision Score
12619
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Ravageeject84 |
| Upload Date | March 27 2026 01:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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% |
4909
913.0 IPS |
|
|
Image Classification (HP)
|
100% |
5174
962.2 IPS |
|
|
Image Classification (Q)
|
96% |
5038
940.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7428
120.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8321
134.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8034
130.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
28227
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32846
38.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
31790
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
4874
386.6 IPS |
|
|
Object Detection (HP)
|
100% |
5363
425.4 IPS |
|
|
Object Detection (Q)
|
91% |
5303
423.8 IPS |
|
|
Face Detection (SP)
|
100% |
12634
150.1 IPS |
|
|
Face Detection (HP)
|
100% |
17535
208.4 IPS |
|
|
Face Detection (Q)
|
100% |
16349
194.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20227
155.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
23451
180.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
21799
170.6 IPS |
|
|
Style Transfer (SP)
|
100% |
58345
75.0 IPS |
|
|
Style Transfer (HP)
|
100% |
71926
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68786
88.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11636
429.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12213
451.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10588
391.0 IPS |
|
|
Text Classification (SP)
|
100% |
6633
8.85 KIPS |
|
|
Text Classification (HP)
|
100% |
10193
13.6 KIPS |
|
|
Text Classification (Q)
|
92% |
10337
13.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
5415
93.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5993
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5593
96.6 IPS |
