Mac mini (2023)
Geekbench AI Score
3492
Single Precision Score
21592
Half Precision Score
23690
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | juustova |
| Upload Date | October 21 2024 11:05 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| 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% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
14562
2.71 KIPS |
|
|
Image Classification (Q)
|
99% |
15457
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1542
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9088
147.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
9107
147.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6897
8.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
102584
119.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
101068
118.5 IPS |
|
|
Object Detection (SP)
|
100% |
1583
125.6 IPS |
|
|
Object Detection (HP)
|
99% |
15018
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17624
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3081
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
23250
276.3 IPS |
|
|
Face Detection (Q)
|
100% |
35995
427.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5762
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
75546
582.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
82114
634.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18839
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
156510
201.2 IPS |
|
|
Style Transfer (Q)
|
100% |
155875
200.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4141
152.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41134
1.52 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
50895
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3807
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3777
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2510
43.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2508
43.3 IPS |
