LENOVO INVALID
Geekbench AI Score
2084
Single Precision Score
2073
Half Precision Score
1512
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | batest23 |
| Upload Date | October 26 2024 04:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 960M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO INVALID |
| Motherboard | LENOVO INVALID |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4720HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
740
137.7 IPS |
|
|
Image Classification (HP)
|
100% |
728
135.4 IPS |
|
|
Image Classification (Q)
|
100% |
617
114.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
912
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7696
8.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
7131
8.32 IPS |
|
|
Pose Estimation (Q)
|
97% |
6746
7.90 IPS |
|
|
Object Detection (SP)
|
100% |
962
76.3 IPS |
|
|
Object Detection (HP)
|
100% |
952
75.5 IPS |
|
|
Object Detection (Q)
|
89% |
755
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
1629
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
1659
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1293
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3866
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3785
29.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
3029
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12230
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12073
15.5 IPS |
|
|
Style Transfer (Q)
|
98% |
10550
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3156
116.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2963
109.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2243
83.0 IPS |
|
|
Text Classification (SP)
|
100% |
773
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
910
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
446
597.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1399
24.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1345
23.3 IPS |
|
|
Machine Translation (Q)
|
60% |
530
11.8 IPS |
