Mac mini (2023)
Geekbench AI Score
9992
Single Precision Score
11136
Half Precision Score
8554
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fo0barorg |
| Upload Date | December 23 2024 11:50 PM |
| Views | 1 |
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, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.36 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5396
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5602
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
5605
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8213
133.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8374
135.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
8322
134.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
44623
52.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
47860
55.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
43557
51.0 IPS |
|
|
Object Detection (SP)
|
100% |
3915
310.5 IPS |
|
|
Object Detection (HP)
|
100% |
4765
378.0 IPS |
|
|
Object Detection (Q)
|
91% |
4367
349.0 IPS |
|
|
Face Detection (SP)
|
100% |
17941
213.2 IPS |
|
|
Face Detection (HP)
|
100% |
19021
226.0 IPS |
|
|
Face Detection (Q)
|
100% |
13130
156.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26269
202.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27379
210.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
4327
33.5 IPS |
|
|
Style Transfer (SP)
|
100% |
79142
101.7 IPS |
|
|
Style Transfer (HP)
|
100% |
86161
110.8 IPS |
|
|
Style Transfer (Q)
|
100% |
86025
110.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18073
667.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18812
694.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
14898
551.9 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3850
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3816
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
837
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
844
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
851
14.7 IPS |
