Mac mini (2023)
Geekbench AI Score
4043
Single Precision Score
22234
Half Precision Score
24715
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | umoms69 |
| Upload Date | September 27 2024 09:20 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
13483
2.51 KIPS |
|
|
Image Classification (Q)
|
99% |
16080
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15480
250.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
15495
251.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12628
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
102638
119.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
97558
114.4 IPS |
|
|
Object Detection (SP)
|
100% |
1661
131.7 IPS |
|
|
Object Detection (HP)
|
99% |
14036
1.12 KIPS |
|
|
Object Detection (Q)
|
91% |
17001
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
23773
282.5 IPS |
|
|
Face Detection (Q)
|
100% |
36940
438.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6308
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
73622
567.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
82060
634.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23960
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
156692
201.4 IPS |
|
|
Style Transfer (Q)
|
100% |
157221
202.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40772
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
49320
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2239
2.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3844
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3842
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4340
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2285
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2279
39.4 IPS |
