Mac mini (2023)
Geekbench AI Score
9513
Single Precision Score
10431
Half Precision Score
8014
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | edwardhchan |
| Upload Date | October 31 2024 04:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.29 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5371
998.8 IPS |
|
|
Image Classification (HP)
|
100% |
5368
998.3 IPS |
|
|
Image Classification (Q)
|
99% |
5434
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7420
120.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7407
120.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
7348
119.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37374
43.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
39685
46.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
36158
42.3 IPS |
|
|
Object Detection (SP)
|
100% |
4360
345.9 IPS |
|
|
Object Detection (HP)
|
100% |
5074
402.5 IPS |
|
|
Object Detection (Q)
|
91% |
4331
346.1 IPS |
|
|
Face Detection (SP)
|
100% |
16862
200.4 IPS |
|
|
Face Detection (HP)
|
100% |
16856
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
12640
150.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
24773
190.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
25505
196.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
4117
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
68837
88.5 IPS |
|
|
Style Transfer (HP)
|
100% |
75394
96.9 IPS |
|
|
Style Transfer (Q)
|
100% |
75321
96.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13717
506.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14383
531.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
11056
409.6 IPS |
|
|
Text Classification (SP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4006
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1040
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1007
17.4 IPS |
