Mac mini (2024)
Geekbench AI Score
4926
Single Precision Score
36409
Half Precision Score
51718
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | December 15 2025 03:08 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2103
391.2 IPS |
|
|
Image Classification (HP)
|
100% |
17357
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
24801
4.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21724
352.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30437
493.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10039
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123271
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
232344
272.3 IPS |
|
|
Object Detection (SP)
|
100% |
2448
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
18083
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26224
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4244
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
43096
512.1 IPS |
|
|
Face Detection (Q)
|
100% |
61752
733.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8478
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99937
770.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168040
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24242
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233415
300.1 IPS |
|
|
Style Transfer (Q)
|
96% |
322992
416.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6067
224.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52422
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85656
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3305
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5621
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5689
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
4516
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16441
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18225
315.0 IPS |
