LENOVO 21J3CTO1WW
Geekbench AI Score
5556
Single Precision Score
8704
Half Precision Score
4284
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 09:31 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 780M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 21J3CTO1WW |
| Motherboard | LENOVO 21J3CTO1WW |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 PRO 7840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
3052
567.6 IPS |
|
|
Image Classification (Q)
|
100% |
2087
388.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3808
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4175
67.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3048
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
22354
26.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48354
56.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
18405
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
1958
155.3 IPS |
|
|
Object Detection (HP)
|
100% |
2278
180.7 IPS |
|
|
Object Detection (Q)
|
87% |
1978
158.9 IPS |
|
|
Face Detection (SP)
|
100% |
5611
66.7 IPS |
|
|
Face Detection (HP)
|
100% |
9998
118.8 IPS |
|
|
Face Detection (Q)
|
97% |
4537
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13607
104.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
21220
163.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
9757
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
40693
52.3 IPS |
|
|
Style Transfer (HP)
|
100% |
87801
112.9 IPS |
|
|
Style Transfer (Q)
|
98% |
33298
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11072
408.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17645
651.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4510
167.0 IPS |
|
|
Text Classification (SP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1974
2.64 KIPS |
|
|
Text Classification (Q)
|
97% |
1084
1.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2499
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2743
47.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1250
23.5 IPS |
