Mac mini (2024)
Geekbench AI Score
4716
Single Precision Score
36845
Half Precision Score
51576
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mat_dddd |
| Upload Date | November 02 2025 08:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2010
373.7 IPS |
|
|
Image Classification (HP)
|
100% |
18640
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
25586
4.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22226
360.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
30172
489.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9739
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
123007
143.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
232428
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
17945
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
26079
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3972
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
43560
517.6 IPS |
|
|
Face Detection (Q)
|
100% |
61641
732.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8268
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99985
770.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167088
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23142
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232031
298.3 IPS |
|
|
Style Transfer (Q)
|
96% |
324330
418.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5720
211.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53530
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87900
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5831
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5664
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4285
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
15985
275.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17116
295.8 IPS |
