Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
36485
Single Precision Score
49892
Half Precision Score
26993
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | gokuito |
| Upload Date | November 17 2024 05:15 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12982
2.41 KIPS |
|
|
Image Classification (HP)
|
99% |
16776
3.13 KIPS |
|
|
Image Classification (Q)
|
100% |
10788
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23055
373.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
29247
474.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
21642
351.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
312692
364.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
512581
598.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
268534
314.5 IPS |
|
|
Object Detection (SP)
|
100% |
17739
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
23387
1.86 KIPS |
|
|
Object Detection (Q)
|
89% |
14296
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
49362
586.5 IPS |
|
|
Face Detection (HP)
|
100% |
60186
715.1 IPS |
|
|
Face Detection (Q)
|
97% |
40880
487.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
89340
688.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
150063
1.16 KIPS |
|
|
Depth Estimation (Q)
|
75% |
64321
518.8 IPS |
|
|
Style Transfer (SP)
|
100% |
551013
708.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1075396
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
466126
601.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57726
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76464
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41953
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
99% |
4156
5.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2054
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5326
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5265
90.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2170
48.4 IPS |
