Mac mini (2023)
Geekbench AI Score
2151
Single Precision Score
15064
Half Precision Score
15922
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Sprudent3 |
| Upload Date | August 16 2024 12:35 AM |
| Views | 14 |
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% |
1107
205.9 IPS |
|
|
Image Classification (HP)
|
100% |
7871
1.46 KIPS |
|
|
Image Classification (Q)
|
99% |
8182
1.53 KIPS |
|
|
Image Segmentation (SP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5129
83.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
5171
83.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11105
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
92788
108.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
87575
102.7 IPS |
|
|
Object Detection (SP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (HP)
|
99% |
9197
731.6 IPS |
|
|
Object Detection (Q)
|
93% |
10031
800.4 IPS |
|
|
Face Detection (SP)
|
100% |
2016
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
11845
140.7 IPS |
|
|
Face Detection (Q)
|
100% |
13402
159.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3802
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
55673
428.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
60528
468.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13095
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
144506
185.8 IPS |
|
|
Style Transfer (Q)
|
100% |
145819
187.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2280
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20635
762.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
27535
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
446
594.7 IPS |
|
|
Text Classification (HP)
|
100% |
3920
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3826
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1940
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2262
39.1 IPS |
