Mac mini (Late 2020)
Geekbench AI Score
3211
Single Precision Score
16549
Half Precision Score
16167
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | gbench |
| Upload Date | December 07 2024 08:26 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| Model | Mac mini (Late 2020) |
| Model ID | Macmini9,1 |
| Motherboard | Macmini9,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
6334
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5978
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9690
157.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10048
162.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6509
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
69540
81.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
67150
78.7 IPS |
|
|
Object Detection (SP)
|
100% |
1503
119.2 IPS |
|
|
Object Detection (HP)
|
99% |
7386
587.5 IPS |
|
|
Object Detection (Q)
|
91% |
6786
542.3 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
16841
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
15284
181.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5773
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
48388
372.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
48976
382.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16657
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
122066
156.9 IPS |
|
|
Style Transfer (Q)
|
96% |
114930
148.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3728
137.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23796
878.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24369
899.8 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3933
5.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5170
89.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5406
93.4 IPS |
