MacPro7,1
Geekbench AI Score
1243
Single Precision Score
146
Half Precision Score
113
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 07:57 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Gigabyte Technology Co., Ltd. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
664
123.5 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
730
11.8 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3398
3.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1252
1.46 IPS |
|
|
Pose Estimation (Q)
|
96% |
1087
1.27 IPS |
|
|
Object Detection (SP)
|
100% |
721
57.2 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1357
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (Q)
|
100% |
430
5.11 IPS |
|
|
Depth Estimation (SP)
|
100% |
1955
15.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1689
13.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
968
7.57 IPS |
|
|
Style Transfer (SP)
|
100% |
4865
6.25 IPS |
|
|
Style Transfer (HP)
|
100% |
4700
6.04 IPS |
|
|
Style Transfer (Q)
|
96% |
3415
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2134
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
946
34.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
529
19.5 IPS |
|
|
Text Classification (SP)
|
100% |
540
720.5 IPS |
|
|
Text Classification (HP)
|
100% |
546
728.4 IPS |
|
|
Text Classification (Q)
|
93% |
548
735.0 IPS |
|
|
Machine Translation (SP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (HP)
|
100% |
795
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
792
13.7 IPS |
