Mac mini (2024)
Geekbench AI Score
8708
Single Precision Score
10534
Half Precision Score
9495
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | January 09 2025 11:02 AM |
| Views | 11 |
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% |
4606
856.6 IPS |
|
|
Image Classification (HP)
|
100% |
5000
929.8 IPS |
|
|
Image Classification (Q)
|
97% |
4352
812.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5030
81.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7067
114.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7610
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29870
34.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32059
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30531
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
5057
401.1 IPS |
|
|
Object Detection (HP)
|
100% |
5437
431.3 IPS |
|
|
Object Detection (Q)
|
91% |
4645
371.2 IPS |
|
|
Face Detection (SP)
|
100% |
13191
156.7 IPS |
|
|
Face Detection (HP)
|
100% |
16697
198.4 IPS |
|
|
Face Detection (Q)
|
100% |
12482
148.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
21708
167.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
23634
182.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
20105
157.2 IPS |
|
|
Style Transfer (SP)
|
100% |
60117
77.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72046
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
68182
88.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12586
464.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13725
506.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10681
394.4 IPS |
|
|
Text Classification (SP)
|
100% |
3006
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5426
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1100
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1279
22.1 IPS |
