iMac20,2
Geekbench AI Score
1006
Single Precision Score
828
Half Precision Score
577
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| Upload Date | September 14 2024 03:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-10900 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | iMac20,2 |
| Model ID | iMac20,2 |
| Motherboard | Acidanthera Mac-AF89B6D9451A490B iMac20,2 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
566
105.3 IPS |
|
|
Image Classification (HP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (Q)
|
96% |
207
38.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
355
5.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
309
5.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
2965
3.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2765
3.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
2045
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
523
41.4 IPS |
|
|
Object Detection (HP)
|
100% |
398
31.5 IPS |
|
|
Object Detection (Q)
|
92% |
236
18.9 IPS |
|
|
Face Detection (SP)
|
100% |
990
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
843
10.0 IPS |
|
|
Face Detection (Q)
|
100% |
373
4.43 IPS |
|
|
Depth Estimation (SP)
|
100% |
1458
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1140
8.78 IPS |
|
|
Depth Estimation (Q)
|
86% |
747
5.84 IPS |
|
|
Style Transfer (SP)
|
100% |
4071
5.23 IPS |
|
|
Style Transfer (HP)
|
100% |
4636
5.96 IPS |
|
|
Style Transfer (Q)
|
96% |
3325
4.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1537
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
606
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
392
14.5 IPS |
|
|
Text Classification (SP)
|
100% |
519
692.4 IPS |
|
|
Text Classification (HP)
|
100% |
524
699.5 IPS |
|
|
Text Classification (Q)
|
93% |
516
691.9 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (HP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
708
12.2 IPS |
