Mac mini (2024)
Geekbench AI Score
4671
Single Precision Score
36470
Half Precision Score
52375
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | December 02 2024 03:40 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
1971
366.6 IPS |
|
|
Image Classification (HP)
|
100% |
18675
3.47 KIPS |
|
|
Image Classification (Q)
|
97% |
25763
4.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22006
356.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30134
488.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9915
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
124045
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
233001
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2252
178.6 IPS |
|
|
Object Detection (HP)
|
100% |
18530
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26701
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
3838
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
43798
520.4 IPS |
|
|
Face Detection (Q)
|
100% |
61520
731.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8287
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99815
769.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
170305
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25139
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235108
302.2 IPS |
|
|
Style Transfer (Q)
|
96% |
300111
387.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5843
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50362
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85463
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2972
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5292
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
6745
9.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3887
66.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16089
277.1 IPS |
|
|
Machine Translation (Q)
|
98% |
17744
306.6 IPS |
