Mac Pro (Late 2019)
Geekbench ML Score
2536
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AVX2
Result Information
| Upload Date | May 09 2024 02:26 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3223 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.5 MB x 1 |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
| Transfer Rate | 2666 MT/s |
| Type | DDR4 |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1842
344.7 IPS |
|
|
Image Classification (F16)
|
100% |
1876
351.1 IPS |
|
|
Image Classification (I8)
|
99% |
1884
352.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
332
5.55 IPS |
|
|
Image Segmentation (F16)
|
100% |
348
5.81 IPS |
|
|
Image Segmentation (I8)
|
100% |
355
5.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
15131
18.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
16434
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
15449
18.7 IPS |
|
|
Object Detection (F32)
|
100% |
1211
90.4 IPS |
|
|
Object Detection (F16)
|
100% |
1298
96.9 IPS |
|
|
Object Detection (I8)
|
97% |
1454
108.6 IPS |
|
|
Face Detection (F32)
|
100% |
7386
87.8 IPS |
|
|
Face Detection (F16)
|
98% |
7017
83.4 IPS |
|
|
Face Detection (I8)
|
97% |
6885
81.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
9129
70.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
8514
66.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
7859
60.9 IPS |
|
|
Style Transfer (F32)
|
100% |
29178
38.4 IPS |
|
|
Style Transfer (F16)
|
100% |
29987
39.4 IPS |
|
|
Style Transfer (I8)
|
100% |
30909
40.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5874
209.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4844
173.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5560
198.6 IPS |
|
|
Text Classification (F32)
|
100% |
278
399.5 IPS |
|
|
Text Classification (F16)
|
100% |
346
496.6 IPS |
|
|
Text Classification (I8)
|
96% |
269
387.0 IPS |
|
|
Machine Translation (F32)
|
100% |
290
5.33 IPS |
|
|
Machine Translation (F16)
|
100% |
277
5.09 IPS |
|
|
Machine Translation (I8)
|
99% |
294
5.41 IPS |
