Mac mini (2023)
Geekbench AI Score
8985
Single Precision Score
9859
Half Precision Score
8606
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | robroy114 |
| Upload Date | February 26 2025 05:28 PM |
| Views | 8 |
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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5067
942.3 IPS |
|
|
Image Classification (HP)
|
100% |
5161
959.7 IPS |
|
|
Image Classification (Q)
|
97% |
4253
793.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7395
119.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7458
120.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7371
119.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
36827
43.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
39182
45.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
36339
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
4619
366.4 IPS |
|
|
Object Detection (HP)
|
100% |
4856
385.2 IPS |
|
|
Object Detection (Q)
|
91% |
4070
325.2 IPS |
|
|
Face Detection (SP)
|
100% |
16387
194.7 IPS |
|
|
Face Detection (HP)
|
100% |
17187
204.2 IPS |
|
|
Face Detection (Q)
|
100% |
11633
138.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23921
184.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
24723
190.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20445
159.8 IPS |
|
|
Style Transfer (SP)
|
100% |
68253
87.7 IPS |
|
|
Style Transfer (HP)
|
100% |
74486
95.8 IPS |
|
|
Style Transfer (Q)
|
96% |
70076
90.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13410
495.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14111
521.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11025
407.1 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4044
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4003
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
98% |
654
11.3 IPS |
