Mac mini (2024)
Geekbench AI Score
10426
Single Precision Score
12386
Half Precision Score
11408
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jiashu |
| Upload Date | April 22 2025 08:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.38 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4899
911.0 IPS |
|
|
Image Classification (HP)
|
100% |
5283
982.4 IPS |
|
|
Image Classification (Q)
|
96% |
4935
921.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7647
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8493
137.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8187
132.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
30228
35.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32388
37.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
31427
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
5174
410.4 IPS |
|
|
Object Detection (HP)
|
100% |
5701
452.2 IPS |
|
|
Object Detection (Q)
|
92% |
5192
414.4 IPS |
|
|
Face Detection (SP)
|
100% |
12901
153.3 IPS |
|
|
Face Detection (HP)
|
100% |
17467
207.5 IPS |
|
|
Face Detection (Q)
|
100% |
13099
155.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22475
173.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24961
192.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
22958
179.5 IPS |
|
|
Style Transfer (SP)
|
100% |
61001
78.4 IPS |
|
|
Style Transfer (HP)
|
100% |
73613
94.6 IPS |
|
|
Style Transfer (Q)
|
96% |
70645
91.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13349
492.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14521
536.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12267
453.0 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3676
63.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3953
68.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3927
67.9 IPS |
