Gigabyte Technology Co., Ltd. B650M GAMING PLUS WIFI
Geekbench AI Score
36883
Single Precision Score
54286
Half Precision Score
28474
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 24 2025 01:24 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING PLUS WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING PLUS WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12453
2.32 KIPS |
|
|
Image Classification (HP)
|
99% |
20475
3.82 KIPS |
|
|
Image Classification (Q)
|
100% |
12378
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26209
424.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
34467
558.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
23584
383.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
277576
323.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
504691
588.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
242331
283.9 IPS |
|
|
Object Detection (SP)
|
100% |
18301
1.45 KIPS |
|
|
Object Detection (HP)
|
100% |
25537
2.03 KIPS |
|
|
Object Detection (Q)
|
85% |
15595
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
52592
624.9 IPS |
|
|
Face Detection (HP)
|
100% |
70300
835.3 IPS |
|
|
Face Detection (Q)
|
97% |
44732
533.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
87441
673.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
155399
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66477
530.9 IPS |
|
|
Style Transfer (SP)
|
100% |
417906
537.2 IPS |
|
|
Style Transfer (HP)
|
100% |
923059
1.19 KIPS |
|
|
Style Transfer (Q)
|
98% |
365511
471.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57481
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77958
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43534
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
3767
5.03 KIPS |
|
|
Text Classification (HP)
|
99% |
4700
6.27 KIPS |
|
|
Text Classification (Q)
|
97% |
2268
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
6753
116.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6614
113.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2960
55.5 IPS |
