Mac mini (2023)
Geekbench AI Score
3269
Single Precision Score
4851
Half Precision Score
4160
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Goku_is_Gei |
| Upload Date | October 04 2024 05:00 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1521
282.9 IPS |
|
|
Image Classification (HP)
|
100% |
1946
362.0 IPS |
|
|
Image Classification (Q)
|
96% |
1460
272.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1324
21.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1869
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6162
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
14678
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12807
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
97% |
2323
184.9 IPS |
|
|
Object Detection (Q)
|
94% |
1781
142.0 IPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
4547
54.0 IPS |
|
|
Face Detection (Q)
|
100% |
2957
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5482
42.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8831
68.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
6669
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17530
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27483
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23085
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3647
134.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5033
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3690
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3192
4.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3004
51.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4613
79.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4662
80.6 IPS |
