Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
1865
Single Precision Score
1721
Half Precision Score
1090
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% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
1478
274.9 IPS |
|
|
Image Classification (Q)
|
99% |
209
39.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
912
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1803
2.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
1908
2.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
2552
2.99 IPS |
|
|
Object Detection (SP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (HP)
|
100% |
1077
85.5 IPS |
|
|
Object Detection (Q)
|
85% |
831
66.9 IPS |
|
|
Face Detection (SP)
|
100% |
2216
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (Q)
|
97% |
1077
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1414
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1717
13.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
1385
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3161
4.06 IPS |
|
|
Style Transfer (HP)
|
100% |
2921
3.75 IPS |
|
|
Style Transfer (Q)
|
98% |
3724
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2162
79.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2246
82.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1579
58.5 IPS |
|
|
Text Classification (SP)
|
100% |
1726
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (Q)
|
92% |
800
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3492
60.2 IPS |
|
|
Machine Translation (Q)
|
58% |
839
19.7 IPS |
