Mac mini (2023)
Geekbench AI Score
3484
Single Precision Score
21466
Half Precision Score
23612
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | September 19 2024 08:39 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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% |
1398
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
15079
2.80 KIPS |
|
|
Image Classification (Q)
|
99% |
16064
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9048
146.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
9102
147.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6923
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
99872
116.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
101202
118.7 IPS |
|
|
Object Detection (SP)
|
100% |
1579
125.2 IPS |
|
|
Object Detection (HP)
|
99% |
14982
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17490
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3164
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
23124
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
35632
423.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5740
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75450
581.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
81654
631.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18839
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
156627
201.3 IPS |
|
|
Style Transfer (Q)
|
100% |
155518
199.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4153
153.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40360
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
49426
1.83 KIPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3719
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3699
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3545
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2517
43.5 IPS |
