Mac mini (2023)
Geekbench AI Score
2310
Single Precision Score
15066
Half Precision Score
15982
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Sprudent3 |
| Upload Date | August 22 2024 07:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1108
206.0 IPS |
|
|
Image Classification (HP)
|
100% |
7664
1.43 KIPS |
|
|
Image Classification (Q)
|
99% |
8249
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5135
83.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
5148
83.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11152
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
92700
108.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
87736
102.9 IPS |
|
|
Object Detection (SP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (HP)
|
99% |
9180
730.3 IPS |
|
|
Object Detection (Q)
|
93% |
9978
796.2 IPS |
|
|
Face Detection (SP)
|
100% |
2077
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
11794
140.1 IPS |
|
|
Face Detection (Q)
|
100% |
13700
162.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3727
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
55726
429.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
60125
464.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13078
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
144951
186.3 IPS |
|
|
Style Transfer (Q)
|
100% |
145665
187.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2272
83.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20830
769.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27692
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
892
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
3990
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1875
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2273
39.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2269
39.2 IPS |
