Mac mini (2023)
Geekbench AI Score
9004
Single Precision Score
9951
Half Precision Score
8773
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | austinwewn98 |
| Upload Date | February 19 2025 05:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.45 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5245
975.5 IPS |
|
|
Image Classification (HP)
|
100% |
5287
983.3 IPS |
|
|
Image Classification (Q)
|
97% |
4410
823.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7347
119.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7234
117.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7115
115.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37095
43.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
39331
45.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
36543
42.8 IPS |
|
|
Object Detection (SP)
|
100% |
3981
315.8 IPS |
|
|
Object Detection (HP)
|
100% |
4941
391.9 IPS |
|
|
Object Detection (Q)
|
91% |
4153
331.9 IPS |
|
|
Face Detection (SP)
|
100% |
16703
198.5 IPS |
|
|
Face Detection (HP)
|
100% |
17183
204.2 IPS |
|
|
Face Detection (Q)
|
100% |
11650
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
24031
185.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24973
192.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20789
162.5 IPS |
|
|
Style Transfer (SP)
|
100% |
68683
88.3 IPS |
|
|
Style Transfer (HP)
|
100% |
74556
95.8 IPS |
|
|
Style Transfer (Q)
|
96% |
69636
89.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13355
493.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14243
525.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11184
413.0 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3932
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3948
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
739
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
762
13.2 IPS |
