Mac mini (2023)
Geekbench AI Score
3437
Single Precision Score
28184
Half Precision Score
31543
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | November 07 2024 07:40 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
257.1 IPS |
|
|
Image Classification (HP)
|
100% |
14991
2.79 KIPS |
|
|
Image Classification (Q)
|
96% |
15776
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19230
311.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23803
385.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6820
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
106010
123.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
105688
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
1533
121.6 IPS |
|
|
Object Detection (HP)
|
99% |
15888
1.26 KIPS |
|
|
Object Detection (Q)
|
91% |
17973
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3022
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
33982
403.8 IPS |
|
|
Face Detection (Q)
|
100% |
43081
511.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5660
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87575
674.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
110652
864.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18708
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
203076
261.1 IPS |
|
|
Style Transfer (Q)
|
96% |
195269
252.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4121
152.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41528
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51686
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3790
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3759
5.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3589
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6849
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7560
130.7 IPS |
