Mac mini (2023)
Geekbench AI Score
3439
Single Precision Score
28158
Half Precision Score
31529
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Martythebrit |
| Upload Date | November 07 2024 11:51 PM |
| Views | 14 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1377
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
14482
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
15635
2.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1514
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19167
310.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23719
384.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6805
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
106137
123.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
105500
123.7 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
99% |
15981
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
18134
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
3052
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
33565
398.8 IPS |
|
|
Face Detection (Q)
|
100% |
42900
509.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5645
43.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
87712
675.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
110840
866.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18729
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202317
260.1 IPS |
|
|
Style Transfer (Q)
|
96% |
193673
249.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4114
151.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41723
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51596
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3842
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3793
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3564
61.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6971
120.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7594
131.2 IPS |
