MacPro7,1
Geekbench AI Score
2001
Single Precision Score
1471
Half Precision Score
889
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| User | universo-hackintosh |
| Upload Date | December 18 2025 08:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-13900KF |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1019
189.5 IPS |
|
|
Image Classification (HP)
|
100% |
683
127.0 IPS |
|
|
Image Classification (Q)
|
96% |
296
55.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
842
13.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
502
8.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
5909
6.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2598
3.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
2108
2.47 IPS |
|
|
Object Detection (SP)
|
100% |
1051
83.4 IPS |
|
|
Object Detection (HP)
|
100% |
785
62.3 IPS |
|
|
Object Detection (Q)
|
92% |
385
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
2064
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
1562
18.6 IPS |
|
|
Face Detection (Q)
|
100% |
587
6.97 IPS |
|
|
Depth Estimation (SP)
|
100% |
2943
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2703
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
1426
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7308
9.39 IPS |
|
|
Style Transfer (HP)
|
100% |
8346
10.7 IPS |
|
|
Style Transfer (Q)
|
96% |
5433
7.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3264
120.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1447
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
717
26.5 IPS |
|
|
Text Classification (SP)
|
100% |
716
955.4 IPS |
|
|
Text Classification (HP)
|
100% |
687
917.4 IPS |
|
|
Text Classification (Q)
|
93% |
686
921.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1260
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1153
19.9 IPS |
