Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
2350
Single Precision Score
2358
Half Precision Score
1983
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | laffer1 |
| Upload Date | August 11 2025 10:43 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.04 |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.48 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1480
275.2 IPS |
|
|
Image Classification (HP)
|
100% |
1550
288.3 IPS |
|
|
Image Classification (Q)
|
99% |
1298
242.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2594
42.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2570
41.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1304
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3292
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3286
3.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
4384
5.14 IPS |
|
|
Object Detection (SP)
|
100% |
1646
130.5 IPS |
|
|
Object Detection (HP)
|
100% |
1611
127.8 IPS |
|
|
Object Detection (Q)
|
86% |
1555
125.1 IPS |
|
|
Face Detection (SP)
|
100% |
2903
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2830
33.6 IPS |
|
|
Face Detection (Q)
|
97% |
2906
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2892
22.3 IPS |
|
|
Depth Estimation (HP)
|
100% |
2904
22.4 IPS |
|
|
Depth Estimation (Q)
|
74% |
2798
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3928
5.05 IPS |
|
|
Style Transfer (HP)
|
100% |
4008
5.15 IPS |
|
|
Style Transfer (Q)
|
98% |
7501
9.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1622
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2070
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
1479
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
1483
1.98 KIPS |
|
|
Text Classification (Q)
|
92% |
815
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3129
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (Q)
|
58% |
792
18.6 IPS |
