Mac mini (2024)
Geekbench AI Score
10025
Single Precision Score
11588
Half Precision Score
10905
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 13 2025 11:12 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
4849
901.7 IPS |
|
|
Image Classification (HP)
|
100% |
5065
941.9 IPS |
|
|
Image Classification (Q)
|
96% |
4902
915.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7652
124.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8148
132.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7972
129.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29628
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31821
37.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31468
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
5089
403.7 IPS |
|
|
Object Detection (HP)
|
100% |
5455
432.7 IPS |
|
|
Object Detection (Q)
|
92% |
5043
402.5 IPS |
|
|
Face Detection (SP)
|
100% |
13085
155.5 IPS |
|
|
Face Detection (HP)
|
100% |
17059
202.7 IPS |
|
|
Face Detection (Q)
|
100% |
13777
163.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21696
167.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23500
181.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
21385
167.0 IPS |
|
|
Style Transfer (SP)
|
100% |
60188
77.4 IPS |
|
|
Style Transfer (HP)
|
100% |
71163
91.5 IPS |
|
|
Style Transfer (Q)
|
96% |
69319
89.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12481
460.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12411
458.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10970
405.1 IPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5507
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5401
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2899
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3126
53.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3172
54.8 IPS |
