Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
29334
Single Precision Score
51696
Half Precision Score
22568
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 10 2025 05:32 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MPG X870E EDGE TI WIFI (MS-7E59) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11640
2.16 KIPS |
|
|
Image Classification (HP)
|
100% |
19939
3.71 KIPS |
|
|
Image Classification (Q)
|
100% |
10561
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20531
332.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
30883
500.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18993
308.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
165447
193.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
483354
564.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
141817
166.1 IPS |
|
|
Object Detection (SP)
|
100% |
15929
1.26 KIPS |
|
|
Object Detection (HP)
|
100% |
27498
2.18 KIPS |
|
|
Object Detection (Q)
|
83% |
13195
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
42399
503.8 IPS |
|
|
Face Detection (HP)
|
100% |
62444
742.0 IPS |
|
|
Face Detection (Q)
|
97% |
34713
413.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
70213
541.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
133239
1.03 KIPS |
|
|
Depth Estimation (Q)
|
78% |
54260
433.1 IPS |
|
|
Style Transfer (SP)
|
100% |
235926
303.3 IPS |
|
|
Style Transfer (HP)
|
100% |
806472
1.04 KIPS |
|
|
Style Transfer (Q)
|
98% |
200337
258.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43386
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80634
2.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34359
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
3931
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4821
6.43 KIPS |
|
|
Text Classification (Q)
|
97% |
2437
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
6254
107.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6387
110.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2891
54.2 IPS |
