MacPro7,1
Geekbench AI Score
9480
Single Precision Score
10159
Half Precision Score
2135
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | cmarhoover |
| Upload Date | November 27 2024 02:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6196
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6652
1.24 KIPS |
|
|
Image Classification (Q)
|
96% |
183
34.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
854
13.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
348
5.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
95166
111.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
85411
99.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
4451
5.21 IPS |
|
|
Object Detection (SP)
|
100% |
6776
537.5 IPS |
|
|
Object Detection (HP)
|
100% |
6770
537.0 IPS |
|
|
Object Detection (Q)
|
92% |
177
14.1 IPS |
|
|
Face Detection (SP)
|
100% |
23632
280.8 IPS |
|
|
Face Detection (HP)
|
100% |
28554
339.3 IPS |
|
|
Face Detection (Q)
|
100% |
369
4.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
32604
251.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33717
259.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
31890
249.1 IPS |
|
|
Style Transfer (SP)
|
100% |
153676
197.6 IPS |
|
|
Style Transfer (HP)
|
100% |
150535
193.5 IPS |
|
|
Style Transfer (Q)
|
96% |
180481
232.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11733
433.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21165
781.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19294
712.4 IPS |
|
|
Text Classification (SP)
|
100% |
688
918.0 IPS |
|
|
Text Classification (HP)
|
100% |
669
893.5 IPS |
|
|
Text Classification (Q)
|
93% |
580
778.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1778
30.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1738
29.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1656
28.6 IPS |
