Mac mini (2024)
Geekbench AI Score
5778
Single Precision Score
36790
Half Precision Score
49513
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 27 2024 08:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
17563
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
22435
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2503
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
23237
376.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32201
522.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18917
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123473
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
231423
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.5 IPS |
|
|
Object Detection (HP)
|
100% |
20148
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
23671
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4536
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
44495
528.7 IPS |
|
|
Face Detection (Q)
|
100% |
63895
759.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8852
68.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
106683
821.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
180733
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35512
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
238908
307.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304627
393.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7047
260.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46363
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79833
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5237
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
4874
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5776
99.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16249
279.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16350
282.5 IPS |
