Mac mini (2023)
Geekbench AI Score
6068
Single Precision Score
6525
Half Precision Score
2152
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | evodomgeek |
| Upload Date | February 23 2025 02:03 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| 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% |
3570
663.9 IPS |
|
|
Image Classification (HP)
|
100% |
3583
666.4 IPS |
|
|
Image Classification (Q)
|
97% |
2639
492.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3971
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4938
80.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4860
78.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
24413
28.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
26087
30.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
23733
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
3524
279.5 IPS |
|
|
Object Detection (HP)
|
100% |
3606
286.0 IPS |
|
|
Object Detection (Q)
|
92% |
2830
225.9 IPS |
|
|
Face Detection (SP)
|
100% |
9836
116.9 IPS |
|
|
Face Detection (HP)
|
100% |
11337
134.7 IPS |
|
|
Face Detection (Q)
|
100% |
7606
90.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16607
127.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
17739
136.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
108.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42100
54.1 IPS |
|
|
Style Transfer (HP)
|
100% |
48429
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45052
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9661
356.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10179
375.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8052
297.3 IPS |
|
|
Text Classification (SP)
|
100% |
563
751.3 IPS |
|
|
Text Classification (HP)
|
100% |
546
729.2 IPS |
|
|
Text Classification (Q)
|
93% |
609
817.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1484
25.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1554
26.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1475
25.5 IPS |
