Mac mini (2023)
Geekbench AI Score
9035
Single Precision Score
8979
Half Precision Score
8420
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Sprudent3 |
| Upload Date | September 04 2024 09:05 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% |
4934
917.6 IPS |
|
|
Image Classification (HP)
|
100% |
5086
945.9 IPS |
|
|
Image Classification (Q)
|
99% |
4459
831.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7889
127.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7935
128.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
7827
126.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
44308
51.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
46849
54.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
41778
49.0 IPS |
|
|
Object Detection (SP)
|
100% |
4678
371.0 IPS |
|
|
Object Detection (HP)
|
100% |
4749
376.7 IPS |
|
|
Object Detection (Q)
|
92% |
3895
310.9 IPS |
|
|
Face Detection (SP)
|
100% |
15976
189.8 IPS |
|
|
Face Detection (HP)
|
100% |
17407
206.8 IPS |
|
|
Face Detection (Q)
|
100% |
12053
143.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24934
192.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26108
201.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
26102
201.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78955
101.5 IPS |
|
|
Style Transfer (HP)
|
100% |
84258
108.3 IPS |
|
|
Style Transfer (Q)
|
100% |
83879
107.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17573
648.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18366
678.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13854
513.3 IPS |
|
|
Text Classification (SP)
|
100% |
938
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
534
712.1 IPS |
|
|
Text Classification (Q)
|
93% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1126
19.5 IPS |
