Mac mini (2023)
Geekbench AI Score
3479
Single Precision Score
5994
Half Precision Score
5255
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 08:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1398
260.0 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.3 IPS |
|
|
Image Classification (Q)
|
99% |
2530
471.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1528
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2471
40.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2479
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6898
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
14976
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12920
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1569
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2903
231.1 IPS |
|
|
Object Detection (Q)
|
94% |
2104
167.7 IPS |
|
|
Face Detection (SP)
|
100% |
3176
37.7 IPS |
|
|
Face Detection (HP)
|
100% |
6136
72.9 IPS |
|
|
Face Detection (Q)
|
100% |
3594
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5735
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11849
91.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
11868
91.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18809
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28875
37.1 IPS |
|
|
Style Transfer (Q)
|
100% |
28691
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4140
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4830
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3571
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3733
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3710
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5792
100.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5810
100.4 IPS |
