Mac mini (2024)
Geekbench AI Score
5760
Single Precision Score
36376
Half Precision Score
49442
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 05 2025 01:48 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2090
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
17395
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
22324
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23103
374.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31993
518.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18816
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123516
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231514
271.3 IPS |
|
|
Object Detection (SP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
20004
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
23879
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4528
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
44671
530.8 IPS |
|
|
Face Detection (Q)
|
100% |
63891
759.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8887
68.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105993
816.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177364
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35888
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
238102
306.1 IPS |
|
|
Style Transfer (Q)
|
96% |
303119
391.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7012
258.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46038
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78429
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2934
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
4891
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4854
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5658
97.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16094
277.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16907
292.2 IPS |
