Acidanthera iMac20,1
Geekbench AI Score
3885
Single Precision Score
1494
Half Precision Score
5193
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ks5z |
| Upload Date | March 20 2026 11:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acidanthera iMac20,1 |
| Motherboard | Acidanthera Mac-CFF7D910A743CAAF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3244
603.2 IPS |
|
|
Image Classification (HP)
|
100% |
467
86.8 IPS |
|
|
Image Classification (Q)
|
96% |
4524
844.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
5494
89.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6734
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5510
6.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
11814
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
3142
249.3 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
58% |
3083
336.9 IPS |
|
|
Face Detection (SP)
|
100% |
4493
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
1282
15.2 IPS |
|
|
Face Detection (Q)
|
96% |
7486
89.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8842
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1861
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10421
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16359
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13017
16.7 IPS |
|
|
Style Transfer (Q)
|
87% |
15926
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2764
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2259
83.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3963
146.8 IPS |
|
|
Text Classification (SP)
|
100% |
1680
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1297
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2249
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2469
47.7 IPS |
