Mac Pro (Late 2019)
Geekbench AI Score
825
Single Precision Score
117
Half Precision Score
86
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 22 2025 05:02 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3275M |
| 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-3275M |
| Topology | 1 Processor, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 768.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
346
64.3 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2792
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1479
1.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
1155
1.35 IPS |
|
|
Object Detection (SP)
|
100% |
430
34.1 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
869
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
623
7.40 IPS |
|
|
Face Detection (Q)
|
100% |
260
3.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
1361
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1257
9.69 IPS |
|
|
Depth Estimation (Q)
|
85% |
654
5.11 IPS |
|
|
Style Transfer (SP)
|
100% |
5175
6.65 IPS |
|
|
Style Transfer (HP)
|
100% |
5459
7.02 IPS |
|
|
Style Transfer (Q)
|
96% |
3108
4.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
778
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
746
27.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
355
13.1 IPS |
|
|
Text Classification (SP)
|
100% |
463
617.4 IPS |
|
|
Text Classification (HP)
|
100% |
297
396.9 IPS |
|
|
Text Classification (Q)
|
93% |
295
396.4 IPS |
|
|
Machine Translation (SP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (HP)
|
100% |
365
6.28 IPS |
|
|
Machine Translation (Q)
|
98% |
367
6.33 IPS |
