Mac mini (2024)
Geekbench AI Score
9869
Single Precision Score
11463
Half Precision Score
10771
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | August 11 2025 07:05 AM |
| Views | 5 |
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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4627
860.5 IPS |
|
|
Image Classification (HP)
|
100% |
5126
953.2 IPS |
|
|
Image Classification (Q)
|
96% |
4863
908.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7614
123.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8323
134.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7830
126.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29461
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31727
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31378
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4820
382.3 IPS |
|
|
Object Detection (HP)
|
100% |
5409
429.1 IPS |
|
|
Object Detection (Q)
|
92% |
4958
395.8 IPS |
|
|
Face Detection (SP)
|
100% |
12673
150.6 IPS |
|
|
Face Detection (HP)
|
100% |
16243
193.0 IPS |
|
|
Face Detection (Q)
|
100% |
13661
162.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21533
165.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23122
178.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
21625
168.9 IPS |
|
|
Style Transfer (SP)
|
100% |
60636
77.9 IPS |
|
|
Style Transfer (HP)
|
100% |
70798
91.0 IPS |
|
|
Style Transfer (Q)
|
96% |
68869
88.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12326
455.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12284
453.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10756
397.2 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5261
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5175
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2979
51.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3116
53.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3135
54.2 IPS |
