MacPro7,1
Geekbench AI Score
1873
Single Precision Score
196
Half Precision Score
150
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | May 13 2025 05:56 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-13900KF |
| 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 i9-13900KF |
| Topology | 1 Processor, 8 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 5600 MT/s |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1021
189.9 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
5881
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2418
2.82 IPS |
|
|
Pose Estimation (Q)
|
96% |
1988
2.33 IPS |
|
|
Object Detection (SP)
|
100% |
1061
84.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
2039
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
1558
18.5 IPS |
|
|
Face Detection (Q)
|
100% |
609
7.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
2869
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2679
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
1480
11.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7323
9.41 IPS |
|
|
Style Transfer (HP)
|
100% |
7465
9.60 IPS |
|
|
Style Transfer (Q)
|
96% |
5254
6.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3241
119.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1468
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
786
29.0 IPS |
|
|
Text Classification (SP)
|
100% |
730
974.9 IPS |
|
|
Text Classification (HP)
|
100% |
709
946.7 IPS |
|
|
Text Classification (Q)
|
93% |
706
948.1 IPS |
|
|
Machine Translation (SP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1114
19.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1115
19.3 IPS |
