Mac mini (2024)
Geekbench AI Score
4770
Single Precision Score
36655
Half Precision Score
51587
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 23 2025 02:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2040
379.3 IPS |
|
|
Image Classification (HP)
|
100% |
17791
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
25238
4.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21388
346.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30400
492.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10062
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123993
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233866
274.1 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.4 IPS |
|
|
Object Detection (HP)
|
100% |
18310
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25876
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4044
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
43369
515.3 IPS |
|
|
Face Detection (Q)
|
100% |
61427
729.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8420
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99179
764.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168811
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25474
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234074
300.9 IPS |
|
|
Style Transfer (Q)
|
96% |
299007
385.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5785
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49735
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83599
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3043
4.06 KIPS |
|
|
Text Classification (HP)
|
100% |
6111
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6084
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3946
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16564
285.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18230
315.0 IPS |
