Mac mini (2023)
Geekbench AI Score
2044
Single Precision Score
11960
Half Precision Score
13285
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | JaniPhilippi |
| Upload Date | December 22 2024 06:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1176
218.7 IPS |
|
|
Image Classification (HP)
|
100% |
7471
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
7660
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
721
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5047
81.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8122
131.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6000
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
88056
102.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
87700
102.8 IPS |
|
|
Object Detection (SP)
|
100% |
1279
101.4 IPS |
|
|
Object Detection (HP)
|
99% |
8498
676.0 IPS |
|
|
Object Detection (Q)
|
93% |
8958
714.8 IPS |
|
|
Face Detection (SP)
|
100% |
2156
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
11142
132.4 IPS |
|
|
Face Detection (Q)
|
100% |
13003
154.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3703
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50051
385.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
60011
469.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10666
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
138679
178.3 IPS |
|
|
Style Transfer (Q)
|
95% |
126457
163.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2885
106.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19744
729.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25695
948.8 IPS |
|
|
Text Classification (SP)
|
100% |
484
646.1 IPS |
|
|
Text Classification (HP)
|
100% |
573
764.9 IPS |
|
|
Text Classification (Q)
|
93% |
570
765.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1648
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2426
41.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2426
41.9 IPS |
