System manufacturer System Product Name
Geekbench ML Score
2243
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 24 2024 10:13 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME H310M-R R2.0 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 3 |
| L1 Data Cache | 32.0 KB x 3 |
| L2 Cache | 256 KB x 3 |
| L3 Cache | 9.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1394
260.9 IPS |
|
|
Image Classification (F16)
|
100% |
1400
262.0 IPS |
|
|
Image Classification (I8)
|
97% |
1802
337.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
918
15.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
937
15.6 IPS |
|
|
Image Segmentation (I8)
|
97% |
1474
24.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4525
5.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
4576
5.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
8313
10.1 IPS |
|
|
Object Detection (F32)
|
100% |
1236
92.3 IPS |
|
|
Object Detection (F16)
|
100% |
1229
91.8 IPS |
|
|
Object Detection (I8)
|
60% |
1201
89.7 IPS |
|
|
Face Detection (F32)
|
100% |
1589
18.9 IPS |
|
|
Face Detection (F16)
|
100% |
1649
19.6 IPS |
|
|
Face Detection (I8)
|
87% |
2634
31.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4531
35.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
4072
31.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
7247
56.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9799
12.9 IPS |
|
|
Style Transfer (F16)
|
100% |
9964
13.1 IPS |
|
|
Style Transfer (I8)
|
85% |
10816
14.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2064
73.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2103
75.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2512
89.7 IPS |
|
|
Text Classification (F32)
|
100% |
1334
1.92 KIPS |
|
|
Text Classification (F16)
|
100% |
1305
1.88 KIPS |
|
|
Text Classification (I8)
|
94% |
366
525.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1452
26.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1474
27.1 IPS |
|
|
Machine Translation (I8)
|
67% |
1658
30.5 IPS |
