Mac mini (2023)
Geekbench AI Score
8692
Single Precision Score
9274
Half Precision Score
7844
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | umoms69 |
| Upload Date | September 27 2024 09:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5055e) |
| 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 | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5165
960.6 IPS |
|
|
Image Classification (HP)
|
100% |
5124
952.9 IPS |
|
|
Image Classification (Q)
|
99% |
5048
941.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7150
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7233
117.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
7321
118.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37210
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
39370
45.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
35726
41.8 IPS |
|
|
Object Detection (SP)
|
100% |
3311
262.7 IPS |
|
|
Object Detection (HP)
|
100% |
3296
261.5 IPS |
|
|
Object Detection (Q)
|
91% |
4134
330.3 IPS |
|
|
Face Detection (SP)
|
100% |
11117
132.1 IPS |
|
|
Face Detection (HP)
|
100% |
11259
133.8 IPS |
|
|
Face Detection (Q)
|
100% |
12293
146.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24159
186.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24198
186.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
4043
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
68491
88.0 IPS |
|
|
Style Transfer (HP)
|
100% |
74408
95.7 IPS |
|
|
Style Transfer (Q)
|
100% |
74429
95.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13123
484.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13788
509.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10801
400.1 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3941
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3823
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
889
15.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1058
18.3 IPS |
