Mac mini (2023)
Geekbench AI Score
2173
Single Precision Score
12248
Half Precision Score
13266
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 31 2024 09:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1175
218.4 IPS |
|
|
Image Classification (HP)
|
100% |
7425
1.38 KIPS |
|
|
Image Classification (Q)
|
96% |
7670
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5017
81.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8282
134.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5957
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
89138
104.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
87722
102.8 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (HP)
|
99% |
8518
677.6 IPS |
|
|
Object Detection (Q)
|
93% |
8957
714.7 IPS |
|
|
Face Detection (SP)
|
100% |
2154
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
11179
132.8 IPS |
|
|
Face Detection (Q)
|
100% |
12978
154.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3758
29.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
50228
387.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
60226
470.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10772
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
137922
177.3 IPS |
|
|
Style Transfer (Q)
|
95% |
126112
162.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3075
113.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19830
732.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25524
942.5 IPS |
|
|
Text Classification (SP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
709
946.4 IPS |
|
|
Text Classification (Q)
|
93% |
552
741.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1655
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2436
42.1 IPS |
