MacPro7,1
Geekbench AI Score
5426
Single Precision Score
5600
Half Precision Score
1383
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | January 13 2026 04:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6600 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | JINGSHA Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.31 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4618
858.9 IPS |
|
|
Image Classification (HP)
|
100% |
4668
868.0 IPS |
|
|
Image Classification (Q)
|
96% |
151
28.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
340
5.51 IPS |
|
|
Image Segmentation (Q)
|
99% |
202
3.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
37487
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
35417
41.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
2344
2.75 IPS |
|
|
Object Detection (SP)
|
100% |
4174
331.1 IPS |
|
|
Object Detection (HP)
|
100% |
4587
363.9 IPS |
|
|
Object Detection (Q)
|
92% |
188
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
12530
148.9 IPS |
|
|
Face Detection (HP)
|
100% |
13499
160.4 IPS |
|
|
Face Detection (Q)
|
100% |
242
2.88 IPS |
|
|
Depth Estimation (SP)
|
100% |
24011
185.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23047
177.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
21502
168.0 IPS |
|
|
Style Transfer (SP)
|
100% |
62182
79.9 IPS |
|
|
Style Transfer (HP)
|
100% |
60937
78.3 IPS |
|
|
Style Transfer (Q)
|
96% |
73547
94.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8907
328.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12904
476.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12322
455.0 IPS |
|
|
Text Classification (SP)
|
100% |
499
666.2 IPS |
|
|
Text Classification (HP)
|
100% |
493
658.6 IPS |
|
|
Text Classification (Q)
|
93% |
421
564.4 IPS |
|
|
Machine Translation (SP)
|
100% |
978
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
961
16.6 IPS |
