Mac mini (2023)
Geekbench AI Score
4117
Single Precision Score
6625
Half Precision Score
5628
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | fo0barorg |
| Upload Date | December 23 2024 11:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.31 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1383
257.3 IPS |
|
|
Image Classification (HP)
|
100% |
2235
415.7 IPS |
|
|
Image Classification (Q)
|
99% |
2232
416.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
2479
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12438
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
24209
28.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18872
22.1 IPS |
|
|
Object Detection (SP)
|
100% |
1667
132.2 IPS |
|
|
Object Detection (HP)
|
97% |
2760
219.7 IPS |
|
|
Object Detection (Q)
|
94% |
1930
153.9 IPS |
|
|
Face Detection (SP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
5840
69.4 IPS |
|
|
Face Detection (Q)
|
100% |
3391
40.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6144
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11614
89.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
11681
90.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24893
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38794
49.9 IPS |
|
|
Style Transfer (Q)
|
100% |
38192
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5018
185.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6796
251.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4281
158.6 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3836
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3846
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4496
77.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6338
109.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6362
110.0 IPS |
