Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
1653
Single Precision Score
1726
Half Precision Score
1313
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| Upload Date | November 23 2024 08:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 7700 |
| System Information | |
|---|---|
| Operating System | Nobara Linux 40 (GNOME Edition) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-S WIFI (MS-7E26) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.58 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 29.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
1435
266.8 IPS |
|
|
Image Classification (Q)
|
99% |
939
175.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1775
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3439
55.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
756
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2422
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1781
2.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
2094
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
1068
84.7 IPS |
|
|
Object Detection (HP)
|
100% |
316
25.0 IPS |
|
|
Object Detection (Q)
|
85% |
1396
112.4 IPS |
|
|
Face Detection (SP)
|
100% |
2517
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
2508
29.8 IPS |
|
|
Face Detection (Q)
|
97% |
1769
21.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1174
9.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1501
11.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1261
11.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3235
4.16 IPS |
|
|
Style Transfer (HP)
|
100% |
2601
3.34 IPS |
|
|
Style Transfer (Q)
|
98% |
4920
6.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1331
49.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
624
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2090
77.5 IPS |
|
|
Text Classification (SP)
|
100% |
841
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2996
4.00 KIPS |
|
|
Text Classification (Q)
|
92% |
469
630.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2243
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4634
79.8 IPS |
|
|
Machine Translation (Q)
|
58% |
687
16.1 IPS |
