Mac mini (2023)
Geekbench AI Score
3490
Single Precision Score
6005
Half Precision Score
4898
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | wildercayden |
| Upload Date | January 12 2025 12:52 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.7 IPS |
|
|
Image Classification (Q)
|
96% |
1781
332.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2896
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6917
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15033
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13037
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1570
124.5 IPS |
|
|
Object Detection (HP)
|
97% |
2912
231.8 IPS |
|
|
Object Detection (Q)
|
94% |
2100
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
3163
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6154
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3634
43.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5766
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11874
91.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8250
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18858
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28788
37.0 IPS |
|
|
Style Transfer (Q)
|
96% |
24064
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4152
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3632
134.1 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3778
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3741
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5800
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5749
99.3 IPS |
