Mac mini (2024)
Geekbench AI Score
4713
Single Precision Score
37173
Half Precision Score
52973
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | pcworth |
| Upload Date | January 18 2025 01:47 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2016
374.8 IPS |
|
|
Image Classification (HP)
|
100% |
17114
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
27115
5.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2094
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21931
355.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30223
489.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9923
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
124106
144.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
233503
273.7 IPS |
|
|
Object Detection (SP)
|
100% |
2294
182.0 IPS |
|
|
Object Detection (HP)
|
100% |
19003
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26547
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3960
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
44652
530.6 IPS |
|
|
Face Detection (Q)
|
100% |
63960
760.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8388
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99308
765.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
167788
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25375
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
233180
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
297143
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5785
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50386
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87081
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
2956
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6611
8.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6615
8.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3912
67.4 IPS |
|
|
Machine Translation (HP)
|
100% |
16529
284.7 IPS |
|
|
Machine Translation (Q)
|
98% |
18650
322.3 IPS |
