MacPro7,1
Geekbench AI Score
1228
Single Precision Score
904
Half Precision Score
595
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | December 26 2024 10:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-9900KS |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900KS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 4000 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
619
115.1 IPS |
|
|
Image Classification (HP)
|
100% |
453
84.2 IPS |
|
|
Image Classification (Q)
|
96% |
233
43.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
551
8.93 IPS |
|
|
Image Segmentation (Q)
|
99% |
365
5.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
3709
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
1075
1.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
947
1.11 IPS |
|
|
Object Detection (SP)
|
100% |
626
49.7 IPS |
|
|
Object Detection (HP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (Q)
|
92% |
274
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
1430
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1130
13.4 IPS |
|
|
Face Detection (Q)
|
100% |
428
5.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
1890
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1600
12.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
943
7.37 IPS |
|
|
Style Transfer (SP)
|
100% |
4927
6.33 IPS |
|
|
Style Transfer (HP)
|
100% |
4325
5.56 IPS |
|
|
Style Transfer (Q)
|
96% |
3191
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
913
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
517
19.1 IPS |
|
|
Text Classification (SP)
|
100% |
534
712.8 IPS |
|
|
Text Classification (HP)
|
100% |
525
701.0 IPS |
|
|
Text Classification (Q)
|
93% |
518
695.9 IPS |
|
|
Machine Translation (SP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
98% |
734
12.7 IPS |
