Mac mini (2023)
Geekbench AI Score
9754
Single Precision Score
10486
Half Precision Score
8113
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | January 03 2025 09:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5410
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
5434
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
5416
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7441
120.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7454
120.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
7451
120.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37433
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
39782
46.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
36218
42.4 IPS |
|
|
Object Detection (SP)
|
100% |
4908
389.3 IPS |
|
|
Object Detection (HP)
|
100% |
5158
409.1 IPS |
|
|
Object Detection (Q)
|
91% |
4368
349.0 IPS |
|
|
Face Detection (SP)
|
100% |
17291
205.5 IPS |
|
|
Face Detection (HP)
|
100% |
17647
209.7 IPS |
|
|
Face Detection (Q)
|
100% |
12842
152.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
25115
193.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
26023
200.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
4117
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
69486
89.3 IPS |
|
|
Style Transfer (HP)
|
100% |
75639
97.2 IPS |
|
|
Style Transfer (Q)
|
100% |
75634
97.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13803
509.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14588
538.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11184
414.3 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4045
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1100
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
944
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1070
18.5 IPS |
