Mac Pro (Late 2019)
Geekbench AI Score
981
Single Precision Score
129
Half Precision Score
94
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 08 2025 02:47 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5222f) |
| 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% |
413
76.8 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
591
9.57 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
3074
3.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1580
1.84 IPS |
|
|
Pose Estimation (Q)
|
96% |
1211
1.42 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1005
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
746
8.86 IPS |
|
|
Face Detection (Q)
|
100% |
295
3.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
1553
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1350
10.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
728
5.69 IPS |
|
|
Style Transfer (SP)
|
100% |
5859
7.53 IPS |
|
|
Style Transfer (HP)
|
100% |
5398
6.94 IPS |
|
|
Style Transfer (Q)
|
96% |
3419
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
958
35.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
388
14.3 IPS |
|
|
Text Classification (SP)
|
100% |
641
855.3 IPS |
|
|
Text Classification (HP)
|
100% |
355
474.5 IPS |
|
|
Text Classification (Q)
|
93% |
355
476.6 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.85 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.57 IPS |
|
|
Machine Translation (Q)
|
98% |
476
8.22 IPS |
