Mac mini (2024)
Geekbench AI Score
4500
Single Precision Score
36999
Half Precision Score
52123
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 26 2025 11:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.94 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1953
363.2 IPS |
|
|
Image Classification (HP)
|
100% |
18538
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
27663
5.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21683
351.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
29832
483.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9409
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
120614
140.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
226371
265.3 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.4 IPS |
|
|
Object Detection (HP)
|
100% |
19254
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
26417
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
41493
493.0 IPS |
|
|
Face Detection (Q)
|
100% |
57401
682.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8044
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96197
741.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
159899
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
18742
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
234847
301.9 IPS |
|
|
Style Transfer (Q)
|
96% |
291674
376.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5481
202.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47620
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84052
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6872
9.17 KIPS |
|
|
Text Classification (Q)
|
93% |
7160
9.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4251
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16790
289.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18616
321.7 IPS |
