Mac mini (2023)
Geekbench AI Score
8308
Single Precision Score
8956
Half Precision Score
8424
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Sprudent3 |
| Upload Date | August 16 2024 12:36 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5058
940.6 IPS |
|
|
Image Classification (HP)
|
100% |
5093
947.2 IPS |
|
|
Image Classification (Q)
|
99% |
4412
823.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7938
128.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7967
129.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
7696
124.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
43935
51.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
46741
54.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
41697
48.9 IPS |
|
|
Object Detection (SP)
|
100% |
4696
372.5 IPS |
|
|
Object Detection (HP)
|
100% |
4780
379.1 IPS |
|
|
Object Detection (Q)
|
92% |
3882
309.9 IPS |
|
|
Face Detection (SP)
|
100% |
15697
186.5 IPS |
|
|
Face Detection (HP)
|
100% |
17532
208.3 IPS |
|
|
Face Detection (Q)
|
100% |
12037
143.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24964
192.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
26112
201.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
26025
201.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78587
101.0 IPS |
|
|
Style Transfer (HP)
|
100% |
84190
108.2 IPS |
|
|
Style Transfer (Q)
|
100% |
83787
107.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17648
651.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18364
678.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13846
513.0 IPS |
|
|
Text Classification (SP)
|
100% |
420
560.3 IPS |
|
|
Text Classification (HP)
|
100% |
600
801.4 IPS |
|
|
Text Classification (Q)
|
93% |
834
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1081
18.7 IPS |
