Mac mini (2023)
Geekbench AI Score
3327
Single Precision Score
5794
Half Precision Score
4819
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | StanH |
| Upload Date | May 17 2025 02:09 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
2480
461.3 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2461
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2752
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6731
7.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
15057
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12995
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
97% |
2747
218.7 IPS |
|
|
Object Detection (Q)
|
94% |
2014
160.5 IPS |
|
|
Face Detection (SP)
|
100% |
2844
33.8 IPS |
|
|
Face Detection (HP)
|
100% |
5801
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
3434
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5463
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10871
84.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7682
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18267
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29073
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24162
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4010
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5092
188.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3593
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3993
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3928
5.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3497
60.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4534
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6239
107.8 IPS |
