MSI MS-7A21
Geekbench AI Score
28030
Single Precision Score
35502
Half Precision Score
21969
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Syl-13 |
| Upload Date | August 16 2024 11:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | MSI MS-7A21 |
| Motherboard | MSI X99A XPOWER GAMING TITANIUM (MS-7A21) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-5820K |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9910
1.84 KIPS |
|
|
Image Classification (HP)
|
99% |
12637
2.36 KIPS |
|
|
Image Classification (Q)
|
100% |
8782
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12739
206.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14142
229.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11989
194.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
286509
334.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
441029
514.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
253354
296.7 IPS |
|
|
Object Detection (SP)
|
100% |
13802
1.09 KIPS |
|
|
Object Detection (HP)
|
100% |
16396
1.30 KIPS |
|
|
Object Detection (Q)
|
89% |
11655
932.9 IPS |
|
|
Face Detection (SP)
|
100% |
30919
367.4 IPS |
|
|
Face Detection (HP)
|
100% |
34416
408.9 IPS |
|
|
Face Detection (Q)
|
97% |
27047
322.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
81654
629.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
126226
972.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
61568
497.0 IPS |
|
|
Style Transfer (SP)
|
100% |
497387
639.4 IPS |
|
|
Style Transfer (HP)
|
100% |
813166
1.05 KIPS |
|
|
Style Transfer (Q)
|
98% |
432129
557.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49197
1.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61606
2.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38271
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3525
4.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1911
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3234
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3209
55.3 IPS |
|
|
Machine Translation (Q)
|
60% |
1601
35.7 IPS |
