Unknown
Geekbench AI Score
15217
Single Precision Score
16244
Half Precision Score
12075
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 08 2025 08:48 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 |
| System Information | |
|---|---|
| Operating System | Windows 6.2 (64-bit) |
| Model | Unknown |
| Motherboard | |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2698 v3 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5105
949.4 IPS |
|
|
Image Classification (HP)
|
100% |
5461
1.02 KIPS |
|
|
Image Classification (Q)
|
99% |
5052
942.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
11848
192.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9723
157.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9585
155.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
115933
135.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
176247
205.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
98038
114.9 IPS |
|
|
Object Detection (SP)
|
100% |
7261
575.9 IPS |
|
|
Object Detection (HP)
|
100% |
7444
590.4 IPS |
|
|
Object Detection (Q)
|
87% |
6401
514.1 IPS |
|
|
Face Detection (SP)
|
100% |
20245
240.6 IPS |
|
|
Face Detection (HP)
|
100% |
18306
217.5 IPS |
|
|
Face Detection (Q)
|
97% |
17701
211.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
42198
325.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46104
355.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
30417
244.2 IPS |
|
|
Style Transfer (SP)
|
100% |
221543
284.8 IPS |
|
|
Style Transfer (HP)
|
100% |
274573
353.0 IPS |
|
|
Style Transfer (Q)
|
98% |
169793
218.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23132
854.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27387
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16796
621.9 IPS |
|
|
Text Classification (SP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
934
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
828
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3149
54.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3098
53.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1706
32.0 IPS |
