Mac mini (2023)
Geekbench AI Score
3158
Single Precision Score
4707
Half Precision Score
3921
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:39 AM |
| Views | 4 |
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, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1469
273.3 IPS |
|
|
Image Classification (HP)
|
100% |
1815
337.5 IPS |
|
|
Image Classification (Q)
|
99% |
1808
337.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1301
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6235
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
14825
17.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
12583
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.3 IPS |
|
|
Object Detection (HP)
|
97% |
2227
177.3 IPS |
|
|
Object Detection (Q)
|
94% |
1701
135.6 IPS |
|
|
Face Detection (SP)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
4373
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
2846
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5491
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8598
66.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4131
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16841
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26629
34.2 IPS |
|
|
Style Transfer (Q)
|
100% |
26620
34.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4721
174.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3568
132.2 IPS |
|
|
Text Classification (SP)
|
100% |
2285
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3360
4.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3352
4.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2144
36.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4322
74.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4562
78.8 IPS |
