Mac mini (2023)
Geekbench AI Score
4150
Single Precision Score
6766
Half Precision Score
5262
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 18 2024 08:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1391
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
2287
425.3 IPS |
|
|
Image Classification (Q)
|
96% |
1638
305.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1692
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2521
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2916
47.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12602
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
25688
30.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
19109
22.4 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
97% |
2716
216.2 IPS |
|
|
Object Detection (Q)
|
94% |
1973
157.3 IPS |
|
|
Face Detection (SP)
|
100% |
3617
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
6039
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3453
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6378
49.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12235
94.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8211
64.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25006
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39215
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
29436
38.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5153
190.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6933
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4422
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
2281
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4020
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3964
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4472
77.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6190
107.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6187
106.9 IPS |
