MacPro7,1
Geekbench AI Score
1829
Single Precision Score
193
Half Precision Score
148
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | May 15 2025 05:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Transfer Rate | 3600 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
975
181.3 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
5539
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
2218
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
1871
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
1031
81.8 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1972
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (Q)
|
100% |
609
7.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
2924
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2632
20.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
1469
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6947
8.93 IPS |
|
|
Style Transfer (HP)
|
100% |
7098
9.12 IPS |
|
|
Style Transfer (Q)
|
96% |
5085
6.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3340
123.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
763
28.2 IPS |
|
|
Text Classification (SP)
|
100% |
729
972.9 IPS |
|
|
Text Classification (HP)
|
100% |
710
947.0 IPS |
|
|
Text Classification (Q)
|
93% |
703
944.0 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1166
20.2 IPS |
