Mac mini (2024)
Geekbench AI Score
4626
Single Precision Score
7625
Half Precision Score
6144
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | shawn_tsk |
| Upload Date | December 11 2024 05:44 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 4.01 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1943
361.3 IPS |
|
|
Image Classification (HP)
|
100% |
3196
594.4 IPS |
|
|
Image Classification (Q)
|
96% |
2214
413.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2054
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3144
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3483
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9776
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18795
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16212
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.2 IPS |
|
|
Object Detection (HP)
|
97% |
3712
295.5 IPS |
|
|
Object Detection (Q)
|
94% |
2623
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3770
44.8 IPS |
|
|
Face Detection (HP)
|
100% |
6979
82.9 IPS |
|
|
Face Detection (Q)
|
100% |
4167
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8164
62.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14354
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10001
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24613
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37458
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30893
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5760
212.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6788
250.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4783
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5497
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5493
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
3916
67.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6772
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6919
119.6 IPS |
