Mac mini (2023)
Geekbench AI Score
4146
Single Precision Score
6732
Half Precision Score
5287
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | sfs1 |
| Upload Date | November 27 2024 03:10 AM |
| Views | 15 |
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, 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% |
1380
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.6 IPS |
|
|
Image Classification (Q)
|
96% |
1669
311.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2608
42.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2936
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12784
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
24483
28.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
18947
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.3 IPS |
|
|
Object Detection (HP)
|
97% |
2698
214.8 IPS |
|
|
Object Detection (Q)
|
94% |
1994
159.0 IPS |
|
|
Face Detection (SP)
|
100% |
3619
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
5947
70.7 IPS |
|
|
Face Detection (Q)
|
100% |
3436
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6371
49.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12249
94.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8287
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24680
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37767
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29075
37.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5055
186.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7127
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4412
162.9 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4014
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
4587
79.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6216
107.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6288
108.7 IPS |
