Apple Inc. iMac20,2
Geekbench AI Score
8229
Single Precision Score
8870
Half Precision Score
6524
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | robocat |
| Upload Date | December 25 2024 09:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon Pro 5700 XT |
| 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% |
2792
519.3 IPS |
|
|
Image Classification (HP)
|
100% |
3137
583.4 IPS |
|
|
Image Classification (Q)
|
100% |
2498
464.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4828
78.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4905
79.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4292
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
70551
82.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
111033
129.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
59482
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
3690
292.7 IPS |
|
|
Object Detection (HP)
|
100% |
3622
287.3 IPS |
|
|
Object Detection (Q)
|
86% |
3296
265.1 IPS |
|
|
Face Detection (SP)
|
100% |
8634
102.6 IPS |
|
|
Face Detection (HP)
|
100% |
8762
104.1 IPS |
|
|
Face Detection (Q)
|
97% |
7757
92.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19915
153.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
21762
167.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16468
131.4 IPS |
|
|
Style Transfer (SP)
|
100% |
116811
150.2 IPS |
|
|
Style Transfer (HP)
|
100% |
166929
214.6 IPS |
|
|
Style Transfer (Q)
|
98% |
95615
123.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19684
726.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14906
550.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10810
400.3 IPS |
|
|
Text Classification (SP)
|
100% |
630
840.6 IPS |
|
|
Text Classification (HP)
|
100% |
623
831.0 IPS |
|
|
Text Classification (Q)
|
97% |
484
648.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1631
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1040
19.5 IPS |
