Mac mini (2023)
Geekbench AI Score
4018
Single Precision Score
6511
Half Precision Score
5550
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | umoms69 |
| Upload Date | September 27 2024 09:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
2166
402.9 IPS |
|
|
Image Classification (Q)
|
99% |
2170
404.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1649
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2469
40.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
2465
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12526
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
24218
28.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
18668
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
1660
131.7 IPS |
|
|
Object Detection (HP)
|
97% |
2602
207.2 IPS |
|
|
Object Detection (Q)
|
94% |
1918
152.9 IPS |
|
|
Face Detection (SP)
|
100% |
3489
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
5624
66.8 IPS |
|
|
Face Detection (Q)
|
100% |
3337
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6226
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11992
92.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
11656
90.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24119
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38037
48.9 IPS |
|
|
Style Transfer (Q)
|
100% |
37223
47.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4779
176.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6678
246.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4239
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
2237
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3814
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4230
72.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6130
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6190
107.0 IPS |
