MacPro7,1
Geekbench AI Score
1368
Single Precision Score
994
Half Precision Score
695
Quantized Score
Geekbench AI 1.5.0 for macOS AVX2
Result Information
| Upload Date | January 05 2026 07:17 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i9-11900KF |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
683
126.9 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (Q)
|
96% |
283
52.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
773
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
440
7.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
4118
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1474
1.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
1296
1.52 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
100% |
555
44.1 IPS |
|
|
Object Detection (Q)
|
92% |
334
26.7 IPS |
|
|
Face Detection (SP)
|
100% |
1403
16.7 IPS |
|
|
Face Detection (HP)
|
100% |
1116
13.3 IPS |
|
|
Face Detection (Q)
|
100% |
479
5.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1883
14.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1682
13.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1048
8.20 IPS |
|
|
Style Transfer (SP)
|
100% |
4826
6.20 IPS |
|
|
Style Transfer (HP)
|
100% |
4614
5.93 IPS |
|
|
Style Transfer (Q)
|
96% |
3504
4.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2055
75.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
563
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
683
911.8 IPS |
|
|
Text Classification (HP)
|
100% |
550
733.7 IPS |
|
|
Text Classification (Q)
|
93% |
597
801.9 IPS |
|
|
Machine Translation (SP)
|
100% |
854
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
816
14.1 IPS |
|
|
Machine Translation (Q)
|
98% |
826
14.3 IPS |
