Mac mini (2023)
Geekbench AI Score
4146
Single Precision Score
27407
Half Precision Score
31066
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | sfs1 |
| Upload Date | November 27 2024 03:04 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1371
255.0 IPS |
|
|
Image Classification (HP)
|
100% |
14195
2.64 KIPS |
|
|
Image Classification (Q)
|
96% |
17476
3.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19524
316.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24468
396.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12896
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
106309
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105060
123.1 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (HP)
|
99% |
15589
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
17240
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3483
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
35217
418.5 IPS |
|
|
Face Detection (Q)
|
100% |
44221
525.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6382
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
87642
675.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
109416
855.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24977
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204850
263.3 IPS |
|
|
Style Transfer (Q)
|
96% |
193260
249.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5086
187.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42039
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50709
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3980
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4022
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4531
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4922
84.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5670
98.0 IPS |
