Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
43103
Single Precision Score
50005
Half Precision Score
33050
Quantized Score
Geekbench AI 1.1.0 Corporate for Windows AVX2
Result Information
| User | Homex |
| Upload Date | January 11 2025 12:29 PM |
| Views | 31 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z690 TOMAHAWK WIFI (MS-7D32) |
| Power Plan | Adamx's Power Plan |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700KF |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15420
2.87 KIPS |
|
|
Image Classification (HP)
|
100% |
17642
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
12769
2.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22645
367.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21573
349.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21639
351.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
400643
467.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
631364
736.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
343370
402.3 IPS |
|
|
Object Detection (SP)
|
100% |
21467
1.70 KIPS |
|
|
Object Detection (HP)
|
99% |
22079
1.75 KIPS |
|
|
Object Detection (Q)
|
89% |
18105
1.45 KIPS |
|
|
Face Detection (SP)
|
100% |
47747
567.3 IPS |
|
|
Face Detection (HP)
|
100% |
53171
631.8 IPS |
|
|
Face Detection (Q)
|
97% |
41442
494.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
105156
810.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
126493
974.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
83094
669.9 IPS |
|
|
Style Transfer (SP)
|
100% |
617302
793.6 IPS |
|
|
Style Transfer (HP)
|
100% |
929534
1.19 KIPS |
|
|
Style Transfer (Q)
|
98% |
547213
705.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68772
2.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84561
3.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53427
1.98 KIPS |
|
|
Text Classification (SP)
|
100% |
6424
8.58 KIPS |
|
|
Text Classification (HP)
|
100% |
6529
8.72 KIPS |
|
|
Text Classification (Q)
|
97% |
4004
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5383
92.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5339
92.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2246
50.1 IPS |
