Gigabyte Technology Co., Ltd. B650 GAMING X AX
Geekbench AI Score
7355
Single Precision Score
7368
Half Precision Score
17534
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | November 18 2024 07:19 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4324
804.2 IPS |
|
|
Image Classification (HP)
|
100% |
4324
804.1 IPS |
|
|
Image Classification (Q)
|
100% |
10070
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4455
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4382
71.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9571
155.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11915
13.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11906
13.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
47719
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
4649
368.7 IPS |
|
|
Object Detection (HP)
|
100% |
4621
366.5 IPS |
|
|
Object Detection (Q)
|
88% |
11246
901.5 IPS |
|
|
Face Detection (SP)
|
100% |
11221
133.3 IPS |
|
|
Face Detection (HP)
|
100% |
11382
135.2 IPS |
|
|
Face Detection (Q)
|
100% |
31069
369.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12544
96.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12491
96.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34116
265.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30906
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31561
40.6 IPS |
|
|
Style Transfer (Q)
|
98% |
115538
149.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6387
235.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6486
239.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20065
743.1 IPS |
|
|
Text Classification (SP)
|
100% |
3342
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3329
4.44 KIPS |
|
|
Text Classification (Q)
|
92% |
4119
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4677
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4670
80.4 IPS |
|
|
Machine Translation (Q)
|
100% |
5248
90.4 IPS |
