Mac mini (2024)
Geekbench AI Score
4824
Single Precision Score
37062
Half Precision Score
52455
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | August 30 2025 07:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
18675
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
26501
4.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21315
345.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
29021
470.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9993
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122977
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
231719
271.6 IPS |
|
|
Object Detection (SP)
|
100% |
2446
194.0 IPS |
|
|
Object Detection (HP)
|
100% |
18458
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26342
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4222
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
44768
531.9 IPS |
|
|
Face Detection (Q)
|
100% |
66378
788.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8614
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
99513
766.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
170370
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
21775
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
232748
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
299976
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6097
225.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49974
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84361
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6317
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6405
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4402
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16535
284.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18330
316.8 IPS |
