Mac mini (2023)
Geekbench AI Score
3478
Single Precision Score
27790
Half Precision Score
31283
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | rgba |
| Upload Date | December 07 2024 04:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
14921
2.77 KIPS |
|
|
Image Classification (Q)
|
96% |
15940
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18816
305.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23953
388.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6907
8.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
106661
124.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105168
123.3 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.8 IPS |
|
|
Object Detection (HP)
|
99% |
15491
1.23 KIPS |
|
|
Object Detection (Q)
|
91% |
17814
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
33773
401.3 IPS |
|
|
Face Detection (Q)
|
100% |
42918
510.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5776
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
86999
670.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
110652
864.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18821
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
202698
260.6 IPS |
|
|
Style Transfer (Q)
|
96% |
193643
249.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4154
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41404
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51165
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3742
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3780
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6419
110.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7056
121.9 IPS |
