Mac Pro (Late 2019)
Geekbench AI Score
1112
Single Precision Score
831
Half Precision Score
515
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | January 24 2025 02:17 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3265M |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
502
93.3 IPS |
|
|
Image Classification (HP)
|
100% |
310
57.6 IPS |
|
|
Image Classification (Q)
|
96% |
158
29.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
702
11.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
455
7.37 IPS |
|
|
Image Segmentation (Q)
|
99% |
301
4.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
3307
3.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1785
2.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
1419
1.66 IPS |
|
|
Object Detection (SP)
|
100% |
549
43.6 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
92% |
211
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (HP)
|
100% |
841
9.99 IPS |
|
|
Face Detection (Q)
|
100% |
338
4.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
1738
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1571
12.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
821
6.42 IPS |
|
|
Style Transfer (SP)
|
100% |
6635
8.53 IPS |
|
|
Style Transfer (HP)
|
100% |
6720
8.64 IPS |
|
|
Style Transfer (Q)
|
96% |
4008
5.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1070
39.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
954
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
424
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
674
900.0 IPS |
|
|
Text Classification (HP)
|
100% |
370
493.3 IPS |
|
|
Text Classification (Q)
|
93% |
365
490.3 IPS |
|
|
Machine Translation (SP)
|
100% |
457
7.88 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.13 IPS |
|
|
Machine Translation (Q)
|
98% |
540
9.33 IPS |
