MacPro7,1
Geekbench AI Score
3548
Single Precision Score
3334
Half Precision Score
1169
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 08:13 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 580 |
| 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% |
2773
515.6 IPS |
|
|
Image Classification (HP)
|
100% |
2635
490.0 IPS |
|
|
Image Classification (Q)
|
96% |
168
31.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
524
8.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
284
4.60 IPS |
|
|
Pose Estimation (SP)
|
100% |
18208
21.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18396
21.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
3300
3.87 IPS |
|
|
Object Detection (SP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (HP)
|
100% |
2426
192.5 IPS |
|
|
Object Detection (Q)
|
92% |
192
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
10344
122.9 IPS |
|
|
Face Detection (HP)
|
100% |
9606
114.1 IPS |
|
|
Face Detection (Q)
|
100% |
311
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
11396
87.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10242
78.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
10076
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
37202
47.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32996
42.4 IPS |
|
|
Style Transfer (Q)
|
96% |
52001
67.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7200
265.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5194
191.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6281
231.9 IPS |
|
|
Text Classification (SP)
|
100% |
362
483.1 IPS |
|
|
Text Classification (HP)
|
100% |
437
582.8 IPS |
|
|
Text Classification (Q)
|
93% |
417
559.5 IPS |
|
|
Machine Translation (SP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
98% |
370
6.39 IPS |
