Mac mini (2023)
Geekbench AI Score
9546
Single Precision Score
10368
Half Precision Score
9262
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | gbjdsv |
| Upload Date | November 15 2024 10:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5244
975.3 IPS |
|
|
Image Classification (HP)
|
100% |
5509
1.02 KIPS |
|
|
Image Classification (Q)
|
97% |
4428
826.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7424
120.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7301
118.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7164
116.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37318
43.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
39513
46.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
36736
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
4727
374.9 IPS |
|
|
Object Detection (HP)
|
100% |
4979
394.9 IPS |
|
|
Object Detection (Q)
|
91% |
4242
338.9 IPS |
|
|
Face Detection (SP)
|
100% |
16942
201.3 IPS |
|
|
Face Detection (HP)
|
100% |
17674
210.0 IPS |
|
|
Face Detection (Q)
|
100% |
11665
138.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24105
185.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
25310
195.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20686
161.7 IPS |
|
|
Style Transfer (SP)
|
100% |
68763
88.4 IPS |
|
|
Style Transfer (HP)
|
100% |
75182
96.6 IPS |
|
|
Style Transfer (Q)
|
96% |
69880
90.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13735
507.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14384
531.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11376
420.1 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4065
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4044
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1212
21.0 IPS |
