Mac mini (2024)
Geekbench AI Score
5380
Single Precision Score
37032
Half Precision Score
49880
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Ekatak |
| Upload Date | August 03 2025 10:55 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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% |
2065
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
17462
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
22107
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2287
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22730
368.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
32375
524.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17260
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123157
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230483
270.1 IPS |
|
|
Object Detection (SP)
|
100% |
2479
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
19725
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23596
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
4699
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
44622
530.2 IPS |
|
|
Face Detection (Q)
|
100% |
65047
772.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8620
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
113429
873.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
178507
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
25707
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
238527
306.6 IPS |
|
|
Style Transfer (Q)
|
96% |
304151
392.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5926
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46723
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77950
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2907
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5431
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5416
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5608
96.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16421
282.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16429
283.9 IPS |
