Mac mini (2023)
Geekbench AI Score
6674
Single Precision Score
7361
Half Precision Score
5616
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 08:37 AM |
| Views | 2 |
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% |
3659
680.5 IPS |
|
|
Image Classification (HP)
|
100% |
3654
679.5 IPS |
|
|
Image Classification (Q)
|
99% |
3231
602.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4042
65.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5009
81.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
4917
79.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
24486
28.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
26241
30.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
23660
27.7 IPS |
|
|
Object Detection (SP)
|
100% |
3412
270.6 IPS |
|
|
Object Detection (HP)
|
100% |
3404
270.0 IPS |
|
|
Object Detection (Q)
|
91% |
2831
226.2 IPS |
|
|
Face Detection (SP)
|
100% |
9648
114.6 IPS |
|
|
Face Detection (HP)
|
100% |
10121
120.3 IPS |
|
|
Face Detection (Q)
|
100% |
7793
92.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16147
124.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
17286
133.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
2783
21.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42911
55.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48502
62.4 IPS |
|
|
Style Transfer (Q)
|
100% |
48244
62.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9793
361.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10016
369.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7531
279.0 IPS |
|
|
Text Classification (SP)
|
100% |
2238
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3721
4.97 KIPS |
|
|
Text Classification (Q)
|
93% |
3701
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
969
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1007
17.4 IPS |
