Acidanthera MacPro6,1
Geekbench AI Score
6393
Single Precision Score
7875
Half Precision Score
5110
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 16 2024 01:54 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 5500 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Acidanthera MacPro6,1 |
| Motherboard | Acidanthera Mac-F60DEB81FF30ACF6 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3770 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2374
441.5 IPS |
|
|
Image Classification (HP)
|
100% |
2902
539.7 IPS |
|
|
Image Classification (Q)
|
100% |
2107
391.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3206
52.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3493
56.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2883
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
37675
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
62159
72.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
34670
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
2790
221.3 IPS |
|
|
Object Detection (HP)
|
100% |
3109
246.6 IPS |
|
|
Object Detection (Q)
|
90% |
2418
193.3 IPS |
|
|
Face Detection (SP)
|
100% |
7507
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
7847
93.2 IPS |
|
|
Face Detection (Q)
|
97% |
5985
71.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
19015
146.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22357
172.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
13767
110.7 IPS |
|
|
Style Transfer (SP)
|
100% |
73420
94.4 IPS |
|
|
Style Transfer (HP)
|
100% |
114296
146.9 IPS |
|
|
Style Transfer (Q)
|
98% |
58919
76.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11813
436.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15463
571.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8368
309.9 IPS |
|
|
Text Classification (SP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1153
1.54 KIPS |
|
|
Text Classification (Q)
|
97% |
748
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1311
22.6 IPS |
|
|
Machine Translation (Q)
|
60% |
785
17.7 IPS |
