Mac mini (2024)
Geekbench AI Score
10223
Single Precision Score
11825
Half Precision Score
10985
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 19 2025 10:41 AM |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4802
893.1 IPS |
|
|
Image Classification (HP)
|
100% |
5009
931.6 IPS |
|
|
Image Classification (Q)
|
96% |
4761
889.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7611
123.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8375
135.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7977
129.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
30029
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32077
37.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
31176
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
4903
388.9 IPS |
|
|
Object Detection (HP)
|
100% |
5450
432.3 IPS |
|
|
Object Detection (Q)
|
92% |
5019
400.6 IPS |
|
|
Face Detection (SP)
|
100% |
12957
154.0 IPS |
|
|
Face Detection (HP)
|
100% |
16569
196.9 IPS |
|
|
Face Detection (Q)
|
100% |
13806
164.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21756
167.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24272
187.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
22026
172.2 IPS |
|
|
Style Transfer (SP)
|
100% |
59528
76.5 IPS |
|
|
Style Transfer (HP)
|
100% |
72445
93.1 IPS |
|
|
Style Transfer (Q)
|
96% |
69975
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12487
461.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13730
507.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11587
427.9 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5518
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5429
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3777
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3303
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3218
55.6 IPS |
