Mac mini (2024)
Geekbench AI Score
9773
Single Precision Score
11455
Half Precision Score
10812
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | shiftHappens |
| Upload Date | June 12 2025 08:51 AM |
| 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 | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4634
861.8 IPS |
|
|
Image Classification (HP)
|
100% |
4960
922.4 IPS |
|
|
Image Classification (Q)
|
96% |
4738
884.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7572
122.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7999
129.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7773
126.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29787
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
31681
37.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
31388
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4782
379.3 IPS |
|
|
Object Detection (HP)
|
100% |
5399
428.3 IPS |
|
|
Object Detection (Q)
|
92% |
4994
398.6 IPS |
|
|
Face Detection (SP)
|
100% |
12496
148.5 IPS |
|
|
Face Detection (HP)
|
100% |
16593
197.2 IPS |
|
|
Face Detection (Q)
|
100% |
13762
163.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21503
165.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23037
177.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
21602
168.7 IPS |
|
|
Style Transfer (SP)
|
100% |
58866
75.7 IPS |
|
|
Style Transfer (HP)
|
100% |
71093
91.4 IPS |
|
|
Style Transfer (Q)
|
96% |
68915
88.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12269
453.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12258
452.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10813
399.3 IPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5545
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5470
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2718
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3106
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3121
53.9 IPS |
