Mac mini (2024)
Geekbench AI Score
8469
Single Precision Score
10003
Half Precision Score
9269
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 23 2025 02:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
4620
859.1 IPS |
|
|
Image Classification (HP)
|
100% |
4990
928.0 IPS |
|
|
Image Classification (Q)
|
97% |
4363
814.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5007
81.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7014
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7541
122.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29961
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32010
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
30513
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
3890
308.6 IPS |
|
|
Object Detection (HP)
|
100% |
4115
326.4 IPS |
|
|
Object Detection (Q)
|
91% |
4659
372.3 IPS |
|
|
Face Detection (SP)
|
100% |
13199
156.8 IPS |
|
|
Face Detection (HP)
|
100% |
15936
189.4 IPS |
|
|
Face Detection (Q)
|
100% |
11834
140.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
21410
165.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23500
181.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20165
157.6 IPS |
|
|
Style Transfer (SP)
|
100% |
59009
75.9 IPS |
|
|
Style Transfer (HP)
|
100% |
71931
92.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68255
88.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12505
461.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13722
506.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10688
394.6 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5415
7.23 KIPS |
|
|
Text Classification (Q)
|
93% |
5274
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1091
18.8 IPS |
