Mac mini (2024)
Geekbench AI Score
12803
Single Precision Score
14314
Half Precision Score
12681
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | elnoyo |
| Upload Date | December 03 2024 12:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6889
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7509
1.40 KIPS |
|
|
Image Classification (Q)
|
97% |
6345
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10526
170.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11249
182.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
11404
184.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
46440
54.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
48249
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
45839
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6849
543.3 IPS |
|
|
Object Detection (HP)
|
100% |
7328
581.2 IPS |
|
|
Object Detection (Q)
|
91% |
6015
480.6 IPS |
|
|
Face Detection (SP)
|
100% |
23873
283.7 IPS |
|
|
Face Detection (HP)
|
100% |
25484
302.8 IPS |
|
|
Face Detection (Q)
|
100% |
18805
223.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
31158
240.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33009
254.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
27001
211.0 IPS |
|
|
Style Transfer (SP)
|
100% |
104946
134.9 IPS |
|
|
Style Transfer (HP)
|
100% |
112692
144.9 IPS |
|
|
Style Transfer (Q)
|
96% |
106895
137.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16573
612.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17674
652.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13992
516.7 IPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5212
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5317
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1335
23.1 IPS |
