Mac mini (2023)
Geekbench AI Score
3270
Single Precision Score
4804
Half Precision Score
4123
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | JaniPhilippi |
| Upload Date | December 22 2024 06:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1513
281.3 IPS |
|
|
Image Classification (HP)
|
100% |
1935
359.8 IPS |
|
|
Image Classification (Q)
|
96% |
1460
272.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1316
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1872
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6140
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14715
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12777
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1623
128.7 IPS |
|
|
Object Detection (HP)
|
97% |
2308
183.7 IPS |
|
|
Object Detection (Q)
|
94% |
1774
141.4 IPS |
|
|
Face Detection (SP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
4465
53.1 IPS |
|
|
Face Detection (Q)
|
100% |
2928
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5477
42.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8788
67.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6649
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17386
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27320
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22519
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3707
136.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4890
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3681
135.9 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3169
4.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3035
52.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4537
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4487
77.5 IPS |
