RTX 4060 8GB Micro-Star International Co., Ltd. MS-7D99
Geekbench AI Score
16408
Single Precision Score
27021
Half Precision Score
12711
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MemoryzoneBySieuToc |
| Upload Date | September 10 2024 08:30 AM |
| Views | 56 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D99 |
| Motherboard | Micro-Star International Co., Ltd. B760M GAMING PLUS WIFI DDR4 (MS-7D99) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6703
1.25 KIPS |
|
|
Image Classification (HP)
|
99% |
11405
2.13 KIPS |
|
|
Image Classification (Q)
|
100% |
5827
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10677
173.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13877
225.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9836
159.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
85317
99.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
229701
268.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
75983
89.0 IPS |
|
|
Object Detection (SP)
|
100% |
8274
656.3 IPS |
|
|
Object Detection (HP)
|
100% |
13662
1.08 KIPS |
|
|
Object Detection (Q)
|
89% |
7287
583.3 IPS |
|
|
Face Detection (SP)
|
100% |
17625
209.4 IPS |
|
|
Face Detection (HP)
|
100% |
26995
320.8 IPS |
|
|
Face Detection (Q)
|
97% |
14823
176.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
38176
294.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
76281
587.7 IPS |
|
|
Depth Estimation (Q)
|
70% |
29741
249.5 IPS |
|
|
Style Transfer (SP)
|
100% |
140872
181.1 IPS |
|
|
Style Transfer (HP)
|
100% |
351569
451.9 IPS |
|
|
Style Transfer (Q)
|
98% |
129724
167.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28256
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45358
1.67 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20945
775.6 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
3846
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1989
2.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3221
55.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3309
57.0 IPS |
|
|
Machine Translation (Q)
|
60% |
1457
32.5 IPS |
