Mac mini (2023)
Geekbench AI Score
4144
Single Precision Score
6763
Half Precision Score
5300
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 04 2025 03:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
2277
423.4 IPS |
|
|
Image Classification (Q)
|
96% |
1673
312.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2553
41.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2877
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12414
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
24979
29.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
19380
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1670
132.4 IPS |
|
|
Object Detection (HP)
|
97% |
2710
215.8 IPS |
|
|
Object Detection (Q)
|
94% |
1963
156.5 IPS |
|
|
Face Detection (SP)
|
100% |
3590
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
5939
70.6 IPS |
|
|
Face Detection (Q)
|
100% |
3462
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6294
48.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12358
95.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8248
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25064
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
39035
50.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29896
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5066
187.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7027
259.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4424
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4001
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3984
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
4570
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6322
109.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6351
109.7 IPS |
