AZW GTR
Geekbench AI Score
8325
Single Precision Score
11866
Half Precision Score
6160
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 26 2025 02:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | AZW GTR |
| Motherboard | AZW GTR |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3395
631.3 IPS |
|
|
Image Classification (HP)
|
100% |
5002
930.2 IPS |
|
|
Image Classification (Q)
|
100% |
3078
572.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3975
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4772
77.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3219
52.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
42084
49.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
73939
86.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
30826
36.1 IPS |
|
|
Object Detection (SP)
|
100% |
2823
223.9 IPS |
|
|
Object Detection (HP)
|
100% |
4167
330.5 IPS |
|
|
Object Detection (Q)
|
87% |
2629
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
6139
72.9 IPS |
|
|
Face Detection (HP)
|
100% |
11416
135.6 IPS |
|
|
Face Detection (Q)
|
97% |
5089
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18915
145.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
28684
221.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13773
110.5 IPS |
|
|
Style Transfer (SP)
|
100% |
71978
92.5 IPS |
|
|
Style Transfer (HP)
|
100% |
117103
150.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48505
62.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13884
512.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20143
743.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9367
346.9 IPS |
|
|
Text Classification (SP)
|
100% |
2654
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2805
3.74 KIPS |
|
|
Text Classification (Q)
|
97% |
1816
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3239
55.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1695
31.8 IPS |
