Mac mini (2024)
Geekbench AI Score
5758
Single Precision Score
37949
Half Precision Score
51538
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ymmij |
| Upload Date | January 02 2025 11:09 PM |
| Views | 2 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.49 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2116
393.6 IPS |
|
|
Image Classification (HP)
|
100% |
18387
3.42 KIPS |
|
|
Image Classification (Q)
|
97% |
23205
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2518
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23674
383.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33030
535.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
18653
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123844
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233008
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (HP)
|
100% |
21492
1.70 KIPS |
|
|
Object Detection (Q)
|
91% |
27507
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4413
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
44091
523.9 IPS |
|
|
Face Detection (Q)
|
100% |
66066
785.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8645
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
113033
870.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
182057
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
35293
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
238335
306.4 IPS |
|
|
Style Transfer (Q)
|
96% |
306736
395.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7108
262.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48397
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82133
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5381
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5338
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5732
98.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17288
297.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16641
287.6 IPS |
