Gigabyte Technology Co., Ltd. B650M S2H
Geekbench AI Score
23964
Single Precision Score
35663
Half Precision Score
18296
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 10:16 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M S2H |
| Motherboard | Gigabyte Technology Co., Ltd. B650M S2H |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700F 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9303
1.73 KIPS |
|
|
Image Classification (HP)
|
99% |
14009
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
8298
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16890
273.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21793
353.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12829
208.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
139412
162.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
326737
381.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
124429
145.8 IPS |
|
|
Object Detection (SP)
|
100% |
11573
918.0 IPS |
|
|
Object Detection (HP)
|
100% |
17562
1.39 KIPS |
|
|
Object Detection (Q)
|
85% |
10074
811.0 IPS |
|
|
Face Detection (SP)
|
100% |
31548
374.9 IPS |
|
|
Face Detection (HP)
|
100% |
44036
523.2 IPS |
|
|
Face Detection (Q)
|
97% |
26762
319.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
55474
427.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
97339
749.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
44250
353.3 IPS |
|
|
Style Transfer (SP)
|
100% |
241309
310.2 IPS |
|
|
Style Transfer (HP)
|
100% |
524820
674.7 IPS |
|
|
Style Transfer (Q)
|
98% |
218779
282.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41778
1.54 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49774
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29466
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3606
4.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1940
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4651
80.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4706
81.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2127
39.9 IPS |
