Mac Pro (Late 2019)
Geekbench AI Score
962
Single Precision Score
125
Half Precision Score
92
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 21 2025 12:16 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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% |
412
76.7 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3166
3.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1464
1.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
1130
1.32 IPS |
|
|
Object Detection (SP)
|
100% |
484
38.4 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1000
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
730
8.67 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1556
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1361
10.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
703
5.50 IPS |
|
|
Style Transfer (SP)
|
100% |
5619
7.22 IPS |
|
|
Style Transfer (HP)
|
100% |
5172
6.65 IPS |
|
|
Style Transfer (Q)
|
96% |
3191
4.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
776
28.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
371
13.7 IPS |
|
|
Text Classification (SP)
|
100% |
570
761.0 IPS |
|
|
Text Classification (HP)
|
100% |
335
447.8 IPS |
|
|
Text Classification (Q)
|
93% |
325
435.7 IPS |
|
|
Machine Translation (SP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (HP)
|
100% |
477
8.21 IPS |
|
|
Machine Translation (Q)
|
98% |
495
8.56 IPS |
