Mac mini (2024)
Geekbench AI Score
8990
Single Precision Score
10492
Half Precision Score
9957
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | alan536 |
| Upload Date | May 16 2025 07:34 PM |
| Views | 6 |
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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4706
875.3 IPS |
|
|
Image Classification (HP)
|
100% |
5037
936.8 IPS |
|
|
Image Classification (Q)
|
96% |
4780
892.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7559
122.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8023
130.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7881
127.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29690
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
30029
35.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
28400
33.3 IPS |
|
|
Object Detection (SP)
|
100% |
4382
347.6 IPS |
|
|
Object Detection (HP)
|
100% |
5001
396.7 IPS |
|
|
Object Detection (Q)
|
92% |
4546
362.9 IPS |
|
|
Face Detection (SP)
|
100% |
11541
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
16085
191.1 IPS |
|
|
Face Detection (Q)
|
100% |
12601
149.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19392
149.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
20882
160.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
19329
151.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51919
66.7 IPS |
|
|
Style Transfer (HP)
|
100% |
63350
81.4 IPS |
|
|
Style Transfer (Q)
|
96% |
61311
79.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12214
451.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10802
398.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9338
344.8 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5316
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5374
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1768
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2180
37.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2628
45.4 IPS |
