Mac mini (2023)
Geekbench AI Score
2229
Single Precision Score
12371
Half Precision Score
13735
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | evodomgeek |
| Upload Date | February 23 2025 02:10 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1140
212.0 IPS |
|
|
Image Classification (HP)
|
100% |
7469
1.39 KIPS |
|
|
Image Classification (Q)
|
96% |
7662
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5112
82.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8303
134.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5974
6.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
89196
104.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
89291
104.7 IPS |
|
|
Object Detection (SP)
|
100% |
1228
97.4 IPS |
|
|
Object Detection (HP)
|
99% |
8530
678.6 IPS |
|
|
Object Detection (Q)
|
93% |
9000
718.2 IPS |
|
|
Face Detection (SP)
|
100% |
2161
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
11427
135.8 IPS |
|
|
Face Detection (Q)
|
100% |
13342
158.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3967
30.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
50579
389.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
60961
476.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10715
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
140520
180.6 IPS |
|
|
Style Transfer (Q)
|
95% |
127358
164.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3127
115.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19866
733.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25806
952.9 IPS |
|
|
Text Classification (SP)
|
100% |
1082
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
736
982.5 IPS |
|
|
Text Classification (Q)
|
93% |
700
939.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1592
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2435
41.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2498
43.2 IPS |
