Mac mini (2024)
Geekbench AI Score
8607
Single Precision Score
10376
Half Precision Score
9371
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 12 2025 05:21 PM |
| Views | 9 |
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% |
4611
857.4 IPS |
|
|
Image Classification (HP)
|
100% |
4984
926.9 IPS |
|
|
Image Classification (Q)
|
97% |
4382
817.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5039
81.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7064
114.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7626
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29885
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32095
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30563
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5040
399.8 IPS |
|
|
Object Detection (HP)
|
100% |
5441
431.6 IPS |
|
|
Object Detection (Q)
|
91% |
4682
374.1 IPS |
|
|
Face Detection (SP)
|
100% |
13215
157.0 IPS |
|
|
Face Detection (HP)
|
100% |
17027
202.3 IPS |
|
|
Face Detection (Q)
|
100% |
12515
148.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21508
165.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23699
182.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20046
156.7 IPS |
|
|
Style Transfer (SP)
|
100% |
58992
75.8 IPS |
|
|
Style Transfer (HP)
|
100% |
71888
92.4 IPS |
|
|
Style Transfer (Q)
|
96% |
68103
87.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12513
462.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13722
506.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10777
397.9 IPS |
|
|
Text Classification (SP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
5439
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5409
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
995
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1097
19.0 IPS |
