Mac mini (2024)
Geekbench AI Score
7876
Single Precision Score
9510
Half Precision Score
8747
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | April 12 2025 04:53 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
4137
769.4 IPS |
|
|
Image Classification (HP)
|
100% |
4520
840.5 IPS |
|
|
Image Classification (Q)
|
96% |
4257
795.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
6994
113.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7507
121.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7193
116.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19795
23.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
22104
25.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
22294
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
4158
329.8 IPS |
|
|
Object Detection (HP)
|
100% |
4780
379.1 IPS |
|
|
Object Detection (Q)
|
92% |
4465
356.4 IPS |
|
|
Face Detection (SP)
|
100% |
10477
124.5 IPS |
|
|
Face Detection (HP)
|
100% |
14661
174.2 IPS |
|
|
Face Detection (Q)
|
100% |
11523
136.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17900
137.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20303
156.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
17932
140.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53347
68.6 IPS |
|
|
Style Transfer (HP)
|
100% |
65214
83.8 IPS |
|
|
Style Transfer (Q)
|
96% |
61743
79.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11430
422.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12281
453.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10038
370.7 IPS |
|
|
Text Classification (SP)
|
100% |
1754
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2977
3.97 KIPS |
|
|
Text Classification (Q)
|
93% |
2965
3.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1923
33.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2379
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2267
39.2 IPS |
