Micro-Star International Co., Ltd. MS-7E26
Geekbench AI Score
9487
Single Precision Score
9721
Half Precision Score
26380
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 04 2025 10:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6626
1.23 KIPS |
|
|
Image Classification (HP)
|
100% |
7369
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
17120
3.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6372
103.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6853
111.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15459
250.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11573
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11502
13.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
48251
56.5 IPS |
|
|
Object Detection (SP)
|
100% |
5961
472.8 IPS |
|
|
Object Detection (HP)
|
100% |
6223
493.6 IPS |
|
|
Object Detection (Q)
|
88% |
19201
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
12940
153.8 IPS |
|
|
Face Detection (HP)
|
100% |
12398
147.3 IPS |
|
|
Face Detection (Q)
|
100% |
45571
541.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14714
113.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
14569
112.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
51496
400.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31834
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33671
43.3 IPS |
|
|
Style Transfer (Q)
|
98% |
140997
181.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7784
287.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8276
305.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27569
1.02 KIPS |
|
|
Text Classification (SP)
|
100% |
5898
7.87 KIPS |
|
|
Text Classification (HP)
|
100% |
6023
8.04 KIPS |
|
|
Text Classification (Q)
|
92% |
8637
11.6 KIPS |
|
|
Machine Translation (SP)
|
100% |
7294
125.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6882
118.5 IPS |
|
|
Machine Translation (Q)
|
100% |
8449
145.5 IPS |
