Mac Pro (Late 2019)
Geekbench AI Score
1043
Single Precision Score
139
Half Precision Score
102
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| Upload Date | February 22 2025 05:19 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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% |
448
83.4 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
609
9.88 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3215
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1648
1.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
1411
1.65 IPS |
|
|
Object Detection (SP)
|
100% |
516
40.9 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1140
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
813
9.66 IPS |
|
|
Face Detection (Q)
|
100% |
327
3.89 IPS |
|
|
Depth Estimation (SP)
|
100% |
1715
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1550
11.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
810
6.33 IPS |
|
|
Style Transfer (SP)
|
100% |
6438
8.28 IPS |
|
|
Style Transfer (HP)
|
100% |
6704
8.62 IPS |
|
|
Style Transfer (Q)
|
96% |
3915
5.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1036
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
422
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
597
796.9 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.8 IPS |
|
|
Text Classification (Q)
|
93% |
368
493.9 IPS |
|
|
Machine Translation (SP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (Q)
|
98% |
562
9.71 IPS |
