Mac mini (2024)
Geekbench AI Score
5691
Single Precision Score
38585
Half Precision Score
52318
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 26 2024 06:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| 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 | 4.06 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
18223
3.39 KIPS |
|
|
Image Classification (Q)
|
97% |
22984
4.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2455
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23225
376.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33565
544.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18824
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123507
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
237060
277.8 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
20923
1.66 KIPS |
|
|
Object Detection (Q)
|
91% |
25138
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4383
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
44792
532.2 IPS |
|
|
Face Detection (Q)
|
100% |
64140
762.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8509
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111915
862.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
179710
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35142
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
239943
308.4 IPS |
|
|
Style Transfer (Q)
|
96% |
310917
401.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6890
254.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48609
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82057
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6719
8.97 KIPS |
|
|
Text Classification (Q)
|
93% |
6652
8.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5673
97.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17027
293.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17086
295.3 IPS |
