Mac mini (2024)
Geekbench AI Score
5786
Single Precision Score
37159
Half Precision Score
50494
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | December 11 2024 05:32 PM |
| 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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
18422
3.43 KIPS |
|
|
Image Classification (Q)
|
97% |
22750
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23241
376.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
32195
521.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18984
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123368
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231568
271.4 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
19878
1.58 KIPS |
|
|
Object Detection (Q)
|
91% |
24144
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
45194
537.0 IPS |
|
|
Face Detection (Q)
|
100% |
64073
761.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8791
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
106068
817.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
180821
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35047
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
238056
306.0 IPS |
|
|
Style Transfer (Q)
|
96% |
304971
393.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7024
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47246
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79081
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5270
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5533
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5767
99.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16826
289.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17020
294.1 IPS |
