Micro-Star International Co., Ltd. MS-7D32
Geekbench AI Score
41195
Single Precision Score
45009
Half Precision Score
32083
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Homex |
| Upload Date | August 26 2024 09:02 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15392
2.86 KIPS |
|
|
Image Classification (HP)
|
100% |
17727
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
12689
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24217
392.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21805
353.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22116
359.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
401460
468.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
550639
642.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
337341
395.3 IPS |
|
|
Object Detection (SP)
|
100% |
20523
1.63 KIPS |
|
|
Object Detection (HP)
|
99% |
19445
1.54 KIPS |
|
|
Object Detection (Q)
|
89% |
17761
1.42 KIPS |
|
|
Face Detection (SP)
|
100% |
48747
579.2 IPS |
|
|
Face Detection (HP)
|
100% |
53784
639.1 IPS |
|
|
Face Detection (Q)
|
97% |
42101
502.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
92069
709.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104449
804.7 IPS |
|
|
Depth Estimation (Q)
|
73% |
81642
669.0 IPS |
|
|
Style Transfer (SP)
|
100% |
623846
802.0 IPS |
|
|
Style Transfer (HP)
|
100% |
862263
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
541406
698.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67646
2.50 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75479
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54547
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
5190
6.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4783
6.38 KIPS |
|
|
Text Classification (Q)
|
97% |
3054
4.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
4663
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4715
81.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2217
49.5 IPS |
