Mac Pro (Late 2019)
Geekbench AI Score
1097
Single Precision Score
830
Half Precision Score
523
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | December 28 2024 08:56 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
483
89.8 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.2 IPS |
|
|
Image Classification (Q)
|
96% |
163
30.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
666
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.30 IPS |
|
|
Image Segmentation (Q)
|
99% |
304
4.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
3295
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1825
2.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
1454
1.70 IPS |
|
|
Object Detection (SP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (HP)
|
100% |
363
28.8 IPS |
|
|
Object Detection (Q)
|
92% |
208
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
1171
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
835
9.92 IPS |
|
|
Face Detection (Q)
|
100% |
341
4.06 IPS |
|
|
Depth Estimation (SP)
|
100% |
1780
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1576
12.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
839
6.56 IPS |
|
|
Style Transfer (SP)
|
100% |
6700
8.61 IPS |
|
|
Style Transfer (HP)
|
100% |
6751
8.68 IPS |
|
|
Style Transfer (Q)
|
96% |
4087
5.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1018
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
434
16.0 IPS |
|
|
Text Classification (SP)
|
100% |
687
917.1 IPS |
|
|
Text Classification (HP)
|
100% |
363
484.6 IPS |
|
|
Text Classification (Q)
|
93% |
363
487.5 IPS |
|
|
Machine Translation (SP)
|
100% |
457
7.87 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.68 IPS |
|
|
Machine Translation (Q)
|
98% |
556
9.61 IPS |
