Mac mini (2023)
Geekbench AI Score
2107
Single Precision Score
12080
Half Precision Score
12785
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | September 13 2024 03:20 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1151
214.1 IPS |
|
|
Image Classification (HP)
|
100% |
7441
1.38 KIPS |
|
|
Image Classification (Q)
|
99% |
7882
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
731
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5040
81.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
5045
81.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5983
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
88871
103.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
87028
102.1 IPS |
|
|
Object Detection (SP)
|
100% |
1263
100.2 IPS |
|
|
Object Detection (HP)
|
99% |
8484
674.9 IPS |
|
|
Object Detection (Q)
|
93% |
8944
713.7 IPS |
|
|
Face Detection (SP)
|
100% |
2149
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
11302
134.3 IPS |
|
|
Face Detection (Q)
|
100% |
13037
154.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3839
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48694
375.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
53017
409.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10679
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
138709
178.3 IPS |
|
|
Style Transfer (Q)
|
100% |
138912
178.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3033
112.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19846
732.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
25533
946.0 IPS |
|
|
Text Classification (SP)
|
100% |
613
818.4 IPS |
|
|
Text Classification (HP)
|
100% |
638
850.9 IPS |
|
|
Text Classification (Q)
|
93% |
635
852.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1663
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2423
41.9 IPS |
