Mac mini (2024)
Geekbench AI Score
10328
Single Precision Score
11992
Half Precision Score
11190
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | 2048 |
| Upload Date | June 17 2025 01:49 AM |
| Views | 3 |
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 | 3.87 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4759
885.0 IPS |
|
|
Image Classification (HP)
|
100% |
5159
959.4 IPS |
|
|
Image Classification (Q)
|
96% |
4885
912.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7639
123.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8493
137.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7897
128.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
30177
35.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32030
37.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
31633
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
5080
402.9 IPS |
|
|
Object Detection (HP)
|
100% |
5517
437.6 IPS |
|
|
Object Detection (Q)
|
92% |
5082
405.7 IPS |
|
|
Face Detection (SP)
|
100% |
12830
152.4 IPS |
|
|
Face Detection (HP)
|
100% |
16734
198.8 IPS |
|
|
Face Detection (Q)
|
100% |
13437
159.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
22231
171.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24019
185.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
22148
173.0 IPS |
|
|
Style Transfer (SP)
|
100% |
60659
78.0 IPS |
|
|
Style Transfer (HP)
|
100% |
72088
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
69828
90.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13012
480.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12954
478.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11446
422.7 IPS |
|
|
Text Classification (SP)
|
100% |
3004
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5438
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5430
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3667
63.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3895
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3845
66.4 IPS |
