Mac mini (2024)
Geekbench AI Score
8751
Single Precision Score
10547
Half Precision Score
9587
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Vinpeom |
| Upload Date | December 20 2024 03:56 PM |
| Views | 12 |
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% |
4845
901.1 IPS |
|
|
Image Classification (HP)
|
100% |
5203
967.5 IPS |
|
|
Image Classification (Q)
|
97% |
4383
818.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4889
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7015
113.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7657
124.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29866
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
32174
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
30552
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4997
396.4 IPS |
|
|
Object Detection (HP)
|
100% |
5470
433.9 IPS |
|
|
Object Detection (Q)
|
91% |
4746
379.2 IPS |
|
|
Face Detection (SP)
|
100% |
12894
153.2 IPS |
|
|
Face Detection (HP)
|
100% |
16207
192.6 IPS |
|
|
Face Detection (Q)
|
100% |
12282
145.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21947
169.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23556
181.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20503
160.3 IPS |
|
|
Style Transfer (SP)
|
100% |
58632
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
72723
93.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68211
88.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12385
457.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13757
508.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11426
421.9 IPS |
|
|
Text Classification (SP)
|
100% |
3050
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5387
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5272
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1303
22.5 IPS |
