Mac mini (2024)
Geekbench AI Score
9838
Single Precision Score
11426
Half Precision Score
10726
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | October 09 2025 06:12 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
4660
866.7 IPS |
|
|
Image Classification (HP)
|
100% |
4998
929.5 IPS |
|
|
Image Classification (Q)
|
96% |
4732
883.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7567
122.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8057
130.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7762
125.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29457
34.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
31753
37.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
31412
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4787
379.7 IPS |
|
|
Object Detection (HP)
|
100% |
5416
429.6 IPS |
|
|
Object Detection (Q)
|
92% |
4970
396.7 IPS |
|
|
Face Detection (SP)
|
100% |
12909
153.4 IPS |
|
|
Face Detection (HP)
|
100% |
16446
195.4 IPS |
|
|
Face Detection (Q)
|
100% |
13128
156.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
22315
171.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
23155
178.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
21619
168.9 IPS |
|
|
Style Transfer (SP)
|
100% |
59243
76.2 IPS |
|
|
Style Transfer (HP)
|
100% |
70813
91.0 IPS |
|
|
Style Transfer (Q)
|
96% |
68921
88.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12315
454.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12212
450.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10831
399.9 IPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5364
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5350
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3102
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3101
53.6 IPS |
