Apple Inc. iMac20,2
Geekbench AI Score
2971
Single Precision Score
1253
Half Precision Score
3649
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | robocat |
| Upload Date | December 25 2024 09:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10910 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Apple Inc. iMac20,2 |
| Motherboard | Apple Inc. Mac-AF89B6D9451A490B |
| Power Plan | Parallels |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10910 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2052
381.6 IPS |
|
|
Image Classification (HP)
|
100% |
440
81.9 IPS |
|
|
Image Classification (Q)
|
96% |
4473
835.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
1782
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4348
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
3694
4.31 IPS |
|
|
Pose Estimation (Q)
|
86% |
10562
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1962
155.6 IPS |
|
|
Object Detection (HP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (Q)
|
58% |
2390
261.1 IPS |
|
|
Face Detection (SP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (Q)
|
96% |
6447
76.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8278
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1816
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9698
77.4 IPS |
|
|
Style Transfer (SP)
|
100% |
14252
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10785
13.9 IPS |
|
|
Style Transfer (Q)
|
87% |
14108
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2602
96.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2154
79.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2942
109.0 IPS |
|
|
Text Classification (SP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
660
881.6 IPS |
|
|
Text Classification (Q)
|
97% |
403
539.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1700
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
580
10.00 IPS |
|
|
Machine Translation (Q)
|
68% |
1991
38.5 IPS |
