Mac mini (2024)
Geekbench AI Score
4566
Single Precision Score
37314
Half Precision Score
53785
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Merlion |
| Upload Date | December 24 2024 02:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1911
355.4 IPS |
|
|
Image Classification (HP)
|
100% |
18348
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
27564
5.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22179
359.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30031
486.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9728
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123354
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231408
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2232
177.1 IPS |
|
|
Object Detection (HP)
|
100% |
18849
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
27126
2.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3662
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
41049
487.8 IPS |
|
|
Face Detection (Q)
|
100% |
60700
721.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8217
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99931
769.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
170458
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24677
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234252
301.1 IPS |
|
|
Style Transfer (Q)
|
96% |
295307
381.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5666
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49780
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88905
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
7332
9.79 KIPS |
|
|
Text Classification (Q)
|
93% |
8100
10.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (HP)
|
100% |
15769
271.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17721
306.2 IPS |
