Mac mini (2023)
Geekbench AI Score
7042
Single Precision Score
7885
Half Precision Score
6889
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | rgba |
| Upload Date | December 07 2024 04:39 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
3669
682.3 IPS |
|
|
Image Classification (HP)
|
100% |
3647
678.2 IPS |
|
|
Image Classification (Q)
|
97% |
3001
560.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4014
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5008
81.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5091
82.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
24610
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26333
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24457
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3687
292.4 IPS |
|
|
Object Detection (HP)
|
100% |
3711
294.4 IPS |
|
|
Object Detection (Q)
|
91% |
3081
246.2 IPS |
|
|
Face Detection (SP)
|
100% |
10328
122.7 IPS |
|
|
Face Detection (HP)
|
100% |
12014
142.8 IPS |
|
|
Face Detection (Q)
|
100% |
8282
98.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16688
128.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17839
137.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14651
114.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42766
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48744
62.7 IPS |
|
|
Style Transfer (Q)
|
96% |
45357
58.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9874
364.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10153
374.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7982
294.7 IPS |
|
|
Text Classification (SP)
|
100% |
2283
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3759
5.02 KIPS |
|
|
Text Classification (Q)
|
93% |
3731
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1352
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1307
22.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1276
22.0 IPS |
