Mac mini (2023)
Geekbench AI Score
3165
Single Precision Score
4770
Half Precision Score
3954
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | August 15 2024 06:34 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1488
276.8 IPS |
|
|
Image Classification (HP)
|
100% |
1839
341.9 IPS |
|
|
Image Classification (Q)
|
99% |
1830
341.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1284
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1274
20.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1279
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6238
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
14764
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12566
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2223
177.0 IPS |
|
|
Object Detection (Q)
|
94% |
1694
135.0 IPS |
|
|
Face Detection (SP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
4378
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
2883
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5466
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8559
66.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4097
31.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16922
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26532
34.1 IPS |
|
|
Style Transfer (Q)
|
100% |
26534
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3825
141.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4761
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3609
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3687
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3681
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2233
38.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4547
78.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4509
77.9 IPS |
