Mac mini (2023)
Geekbench AI Score
2399
Single Precision Score
15079
Half Precision Score
17087
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gastaro |
| Upload Date | September 16 2024 10:51 AM |
| Views | 2 |
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, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1082
201.2 IPS |
|
|
Image Classification (HP)
|
100% |
7901
1.47 KIPS |
|
|
Image Classification (Q)
|
96% |
8566
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5144
83.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8797
142.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11077
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
92791
108.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
88770
104.0 IPS |
|
|
Object Detection (SP)
|
100% |
1150
91.2 IPS |
|
|
Object Detection (HP)
|
99% |
9316
741.0 IPS |
|
|
Object Detection (Q)
|
93% |
10035
800.7 IPS |
|
|
Face Detection (SP)
|
100% |
2037
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
11457
136.1 IPS |
|
|
Face Detection (Q)
|
100% |
13665
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4145
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
56204
433.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
68058
531.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13184
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
145817
187.4 IPS |
|
|
Style Transfer (Q)
|
95% |
135167
174.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3988
147.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20964
774.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28464
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3927
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3954
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1931
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2238
38.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2235
38.6 IPS |
