Mac mini (2023)
Geekbench AI Score
9496
Single Precision Score
9258
Half Precision Score
8633
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:43 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.46 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4878
907.2 IPS |
|
|
Image Classification (HP)
|
100% |
5123
952.6 IPS |
|
|
Image Classification (Q)
|
99% |
4460
831.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7930
128.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8008
129.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
7816
126.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
44044
51.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
46946
54.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
41610
48.8 IPS |
|
|
Object Detection (SP)
|
100% |
4835
383.5 IPS |
|
|
Object Detection (HP)
|
100% |
4759
377.5 IPS |
|
|
Object Detection (Q)
|
92% |
3892
310.7 IPS |
|
|
Face Detection (SP)
|
100% |
16024
190.4 IPS |
|
|
Face Detection (HP)
|
100% |
17368
206.4 IPS |
|
|
Face Detection (Q)
|
100% |
11959
142.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
24938
192.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
26070
200.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
26016
201.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78242
100.6 IPS |
|
|
Style Transfer (HP)
|
100% |
83946
107.9 IPS |
|
|
Style Transfer (Q)
|
100% |
83580
107.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17550
648.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18202
672.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13687
507.1 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
727
970.8 IPS |
|
|
Text Classification (Q)
|
93% |
749
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1021
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1528
26.4 IPS |
