Mac mini (2023)
Geekbench AI Score
3248
Single Precision Score
4844
Half Precision Score
4010
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | rgba |
| Upload Date | August 16 2024 10:08 PM |
| Views | 5 |
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% |
1519
282.4 IPS |
|
|
Image Classification (HP)
|
100% |
1933
359.5 IPS |
|
|
Image Classification (Q)
|
99% |
1930
359.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1308
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6136
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
14720
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12655
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1601
127.0 IPS |
|
|
Object Detection (HP)
|
97% |
2320
184.7 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2908
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
4489
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2932
34.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5471
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8810
68.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4184
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17389
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27288
35.1 IPS |
|
|
Style Transfer (Q)
|
100% |
27270
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3709
137.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4832
178.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3617
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3503
4.68 KIPS |
|
|
Text Classification (Q)
|
93% |
3466
4.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2804
48.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4518
78.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4520
78.1 IPS |
