Mac mini (2024)
Geekbench AI Score
5378
Single Precision Score
37709
Half Precision Score
48974
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kazk |
| Upload Date | April 27 2025 01:41 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
17864
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
22124
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
23196
376.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
31924
517.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17478
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122504
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229887
269.4 IPS |
|
|
Object Detection (SP)
|
100% |
2494
197.8 IPS |
|
|
Object Detection (HP)
|
100% |
20222
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24016
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4604
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
45852
544.8 IPS |
|
|
Face Detection (Q)
|
100% |
56781
674.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8613
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
106334
819.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
176984
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
25209
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
237460
305.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300919
388.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5977
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47685
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79136
2.92 KIPS |
|
|
Text Classification (SP)
|
100% |
2904
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
6266
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5211
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5634
97.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16372
282.0 IPS |
|
|
Machine Translation (Q)
|
98% |
16323
282.1 IPS |
