Mac mini (2024)
Geekbench AI Score
4839
Single Precision Score
37443
Half Precision Score
52999
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 22 2025 06:22 PM |
| Views | 3 |
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 | 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% |
2097
390.1 IPS |
|
|
Image Classification (HP)
|
100% |
18272
3.40 KIPS |
|
|
Image Classification (Q)
|
97% |
25470
4.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21453
347.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30306
491.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9991
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123549
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232120
272.1 IPS |
|
|
Object Detection (SP)
|
100% |
2462
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
19006
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26665
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
4349
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
44273
526.1 IPS |
|
|
Face Detection (Q)
|
100% |
66752
793.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8678
66.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100785
776.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
171135
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21697
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
233557
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
298308
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6108
225.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51074
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86745
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6724
8.98 KIPS |
|
|
Text Classification (Q)
|
93% |
6687
8.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16445
283.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18515
320.0 IPS |
