Mac mini (2023)
Geekbench AI Score
3238
Single Precision Score
4828
Half Precision Score
4159
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | FSSNAG |
| Upload Date | October 31 2024 08:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1522
283.0 IPS |
|
|
Image Classification (HP)
|
100% |
1941
361.0 IPS |
|
|
Image Classification (Q)
|
96% |
1459
272.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1315
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1866
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6153
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
14731
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12829
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1607
127.5 IPS |
|
|
Object Detection (HP)
|
97% |
2316
184.4 IPS |
|
|
Object Detection (Q)
|
94% |
1778
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
2894
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
4364
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
2872
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5469
42.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
8818
68.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6632
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17412
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27331
35.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22970
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4837
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3683
136.0 IPS |
|
|
Text Classification (SP)
|
100% |
2297
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3450
4.61 KIPS |
|
|
Text Classification (Q)
|
93% |
3429
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2723
46.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4539
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4513
78.0 IPS |
