Mac mini (2023)
Geekbench AI Score
6760
Single Precision Score
7591
Half Precision Score
5668
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 08:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
3655
679.8 IPS |
|
|
Image Classification (HP)
|
100% |
3634
675.7 IPS |
|
|
Image Classification (Q)
|
99% |
3213
599.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4048
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5011
81.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
4923
79.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24658
28.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26272
30.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
23685
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3505
278.0 IPS |
|
|
Object Detection (HP)
|
100% |
3709
294.2 IPS |
|
|
Object Detection (Q)
|
91% |
2918
233.2 IPS |
|
|
Face Detection (SP)
|
100% |
10474
124.5 IPS |
|
|
Face Detection (HP)
|
100% |
11968
142.2 IPS |
|
|
Face Detection (Q)
|
100% |
8229
97.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16707
128.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
17923
138.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
2790
21.6 IPS |
|
|
Style Transfer (SP)
|
100% |
42367
54.5 IPS |
|
|
Style Transfer (HP)
|
100% |
48578
62.4 IPS |
|
|
Style Transfer (Q)
|
100% |
48304
62.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9788
361.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10168
375.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7508
278.2 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3716
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3692
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
968
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1019
17.6 IPS |
