Generic
Geekbench AI Score
2434
Single Precision Score
1035
Half Precision Score
3534
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | cwebb15 |
| Upload Date | February 27 2025 10:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-9900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Generic |
| Motherboard | ASRock B365 Phantom Gaming 4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1700
316.1 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.0 IPS |
|
|
Image Classification (Q)
|
96% |
2776
518.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
570
9.23 IPS |
|
|
Image Segmentation (Q)
|
97% |
2005
32.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3981
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3394
3.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
9202
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1710
135.6 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
58% |
2208
241.2 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
6367
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6504
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1421
11.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
7343
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9483
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7218
9.28 IPS |
|
|
Style Transfer (Q)
|
87% |
13418
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1985
73.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1388
51.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2259
83.7 IPS |
|
|
Text Classification (SP)
|
100% |
1212
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
607
809.8 IPS |
|
|
Text Classification (Q)
|
97% |
1107
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1385
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (Q)
|
68% |
1717
33.2 IPS |
