Mac mini (2023)
Geekbench AI Score
9457
Single Precision Score
10408
Half Precision Score
9185
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | AlexSwitch |
| Upload Date | December 09 2024 03:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5153
958.3 IPS |
|
|
Image Classification (HP)
|
100% |
5358
996.4 IPS |
|
|
Image Classification (Q)
|
97% |
4502
840.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7441
120.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7437
120.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7234
117.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37236
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
39656
46.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
36781
43.1 IPS |
|
|
Object Detection (SP)
|
100% |
4363
346.1 IPS |
|
|
Object Detection (HP)
|
100% |
5019
398.1 IPS |
|
|
Object Detection (Q)
|
91% |
4255
340.0 IPS |
|
|
Face Detection (SP)
|
100% |
15882
188.7 IPS |
|
|
Face Detection (HP)
|
100% |
17797
211.5 IPS |
|
|
Face Detection (Q)
|
100% |
12790
152.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24723
190.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25758
198.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
21114
165.0 IPS |
|
|
Style Transfer (SP)
|
100% |
69108
88.8 IPS |
|
|
Style Transfer (HP)
|
100% |
75447
97.0 IPS |
|
|
Style Transfer (Q)
|
96% |
70305
90.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13599
502.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14457
533.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11350
419.1 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4080
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4050
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
961
16.6 IPS |
