Mac mini (2023)
Geekbench AI Score
3514
Single Precision Score
26733
Half Precision Score
29640
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Ovcharski |
| Upload Date | March 03 2025 04:18 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
15001
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15833
2.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1545
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19352
313.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23590
382.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6936
8.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
106405
124.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
105394
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
99% |
15659
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17702
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
33669
400.1 IPS |
|
|
Face Detection (Q)
|
100% |
42914
509.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5839
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87713
675.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
111727
873.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18813
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
204278
262.6 IPS |
|
|
Style Transfer (Q)
|
96% |
194018
250.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4170
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40159
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49123
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2250
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3794
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3764
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3628
62.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4194
72.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4367
75.5 IPS |
