Mac mini (2023)
Geekbench AI Score
3262
Single Precision Score
4836
Half Precision Score
4149
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | hawie |
| Upload Date | September 12 2024 03:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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% |
1518
282.3 IPS |
|
|
Image Classification (HP)
|
100% |
1936
360.1 IPS |
|
|
Image Classification (Q)
|
96% |
1456
272.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1868
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6133
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14706
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12764
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (HP)
|
97% |
2312
184.1 IPS |
|
|
Object Detection (Q)
|
94% |
1770
141.1 IPS |
|
|
Face Detection (SP)
|
100% |
2891
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4502
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
2915
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5432
41.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
8773
67.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6579
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17360
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27285
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22906
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3685
136.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4938
182.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3672
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3340
4.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3312
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3016
51.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4560
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4611
79.7 IPS |
