Default string Default string
Geekbench AI Score
10787
Single Precision Score
11480
Half Precision Score
9307
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | superlid |
| Upload Date | March 15 2025 08:10 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | HUANANZHI X99 F8D |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v3 |
| Topology | 2 Processors, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4742
881.9 IPS |
|
|
Image Classification (HP)
|
100% |
4694
872.9 IPS |
|
|
Image Classification (Q)
|
100% |
4118
765.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4434
71.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4347
70.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
4313
70.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
103077
120.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
147623
172.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
87601
102.6 IPS |
|
|
Object Detection (SP)
|
100% |
5932
470.5 IPS |
|
|
Object Detection (HP)
|
100% |
5446
432.0 IPS |
|
|
Object Detection (Q)
|
87% |
5283
424.3 IPS |
|
|
Face Detection (SP)
|
100% |
11218
133.3 IPS |
|
|
Face Detection (HP)
|
100% |
9916
117.8 IPS |
|
|
Face Detection (Q)
|
97% |
10704
127.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
37495
288.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
43029
331.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
29194
234.4 IPS |
|
|
Style Transfer (SP)
|
100% |
176426
226.8 IPS |
|
|
Style Transfer (HP)
|
100% |
209918
269.9 IPS |
|
|
Style Transfer (Q)
|
98% |
143447
185.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21358
788.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25871
955.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15686
580.8 IPS |
|
|
Text Classification (SP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
866
1.16 KIPS |
|
|
Text Classification (Q)
|
97% |
853
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (Q)
|
70% |
990
18.6 IPS |
