Mac mini (2023)
Geekbench AI Score
3475
Single Precision Score
21462
Half Precision Score
23471
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | ak2wqkRoCBmBvqKVw |
| Upload Date | September 16 2024 11:16 PM |
| Views | 9 |
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% |
1397
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
14785
2.75 KIPS |
|
|
Image Classification (Q)
|
99% |
15606
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9066
147.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
9014
146.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6887
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
100180
116.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
101366
118.9 IPS |
|
|
Object Detection (SP)
|
100% |
1580
125.3 IPS |
|
|
Object Detection (HP)
|
99% |
14912
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17563
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
3133
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
23253
276.3 IPS |
|
|
Face Detection (Q)
|
100% |
35811
425.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5733
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75486
581.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
81825
632.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18827
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
156377
201.0 IPS |
|
|
Style Transfer (Q)
|
100% |
155962
200.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4136
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40571
1.50 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
48250
1.79 KIPS |
|
|
Text Classification (SP)
|
100% |
2216
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3738
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3724
5.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3572
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2468
42.6 IPS |
