MacPro7,1
Geekbench AI Score
1789
Single Precision Score
1341
Half Precision Score
1004
Quantized Score
Geekbench AI 1.4.0 for macOS AVX2
Result Information
| User | titanfall27970 |
| Upload Date | August 27 2025 04:03 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
772
143.6 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.4 IPS |
|
|
Image Classification (Q)
|
96% |
391
73.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
641
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5365
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2374
2.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
2119
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
895
71.0 IPS |
|
|
Object Detection (HP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
92% |
453
36.2 IPS |
|
|
Face Detection (SP)
|
100% |
1721
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
1571
18.7 IPS |
|
|
Face Detection (Q)
|
100% |
758
9.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
2362
18.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2328
17.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
1578
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7533
9.68 IPS |
|
|
Style Transfer (HP)
|
100% |
7789
10.0 IPS |
|
|
Style Transfer (Q)
|
96% |
5744
7.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1191
44.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
837
30.9 IPS |
|
|
Text Classification (SP)
|
100% |
1491
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
800
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
796
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
946
16.4 IPS |
