Mac mini (2024)
Geekbench AI Score
2696
Single Precision Score
21910
Half Precision Score
30840
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | September 07 2025 05:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5351b) |
| 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 | 2.08 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1033
192.1 IPS |
|
|
Image Classification (HP)
|
100% |
11113
2.07 KIPS |
|
|
Image Classification (Q)
|
97% |
15829
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1136
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13113
212.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17366
281.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5727
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
67652
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
127474
149.4 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
100% |
11816
937.2 IPS |
|
|
Object Detection (Q)
|
91% |
15974
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
2270
27.0 IPS |
|
|
Face Detection (HP)
|
100% |
26273
312.2 IPS |
|
|
Face Detection (Q)
|
100% |
36258
430.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4660
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
60765
468.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
103069
805.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13275
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
149102
191.7 IPS |
|
|
Style Transfer (Q)
|
96% |
214628
277.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3386
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33349
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54738
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
1869
2.49 KIPS |
|
|
Text Classification (HP)
|
99% |
3107
4.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3091
4.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2624
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8877
152.9 IPS |
|
|
Machine Translation (Q)
|
98% |
10249
177.1 IPS |
