MacPro7,1
Geekbench ML Score
7530
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | March 20 2025 01:24 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-11900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 3200 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
6021
1.13 KIPS |
|
|
Image Classification (F16)
|
100% |
5889
1.10 KIPS |
|
|
Image Classification (I8)
|
99% |
5819
1.09 KIPS |
|
|
Image Segmentation (F32)
|
100% |
582
9.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
593
9.90 IPS |
|
|
Image Segmentation (I8)
|
100% |
590
9.85 IPS |
|
|
Pose Estimation (F32)
|
100% |
74442
90.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
70462
85.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
70875
85.8 IPS |
|
|
Object Detection (F32)
|
100% |
4340
324.0 IPS |
|
|
Object Detection (F16)
|
100% |
3911
292.0 IPS |
|
|
Object Detection (I8)
|
97% |
4122
307.7 IPS |
|
|
Face Detection (F32)
|
100% |
15607
185.6 IPS |
|
|
Face Detection (F16)
|
98% |
16488
196.0 IPS |
|
|
Face Detection (I8)
|
97% |
15935
189.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
30178
234.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
29685
230.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
27285
211.6 IPS |
|
|
Style Transfer (F32)
|
100% |
118150
155.4 IPS |
|
|
Style Transfer (F16)
|
100% |
118539
155.9 IPS |
|
|
Style Transfer (I8)
|
100% |
117387
154.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
11640
415.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17826
636.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
17386
620.9 IPS |
|
|
Text Classification (F32)
|
100% |
559
803.9 IPS |
|
|
Text Classification (F16)
|
100% |
619
889.7 IPS |
|
|
Text Classification (I8)
|
96% |
519
746.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1269
23.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1186
21.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1147
21.1 IPS |
