Mac Pro (Late 2019)
Geekbench AI Score
1061
Single Precision Score
133
Half Precision Score
110
Quantized Score
Geekbench AI 1.0.0 for macOS AVX2
Result Information
| User | GdM74 |
| Upload Date | September 08 2025 03:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3245 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| Model | Mac Pro (Late 2019) |
| Model ID | MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Xeon W-3245 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 160.00 GB |
| Transfer Rate | 2666 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
451
84.0 IPS |
|
|
Image Classification (HP)
|
0
|
||
|
Image Classification (Q)
|
0
|
||
|
Image Segmentation (SP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (HP)
|
0
|
||
|
Image Segmentation (Q)
|
0
|
||
|
Pose Estimation (SP)
|
100% |
2772
3.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1542
1.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
1198
1.40 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
0
|
||
|
Object Detection (Q)
|
0
|
||
|
Face Detection (SP)
|
100% |
1100
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
778
9.24 IPS |
|
|
Face Detection (Q)
|
100% |
322
3.83 IPS |
|
|
Depth Estimation (SP)
|
100% |
1676
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1457
11.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
1441
11.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5775
7.42 IPS |
|
|
Style Transfer (HP)
|
100% |
5584
7.18 IPS |
|
|
Style Transfer (Q)
|
100% |
5578
7.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1235
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
413
15.3 IPS |
|
|
Text Classification (SP)
|
100% |
714
952.8 IPS |
|
|
Text Classification (HP)
|
100% |
388
517.8 IPS |
|
|
Text Classification (Q)
|
93% |
385
516.3 IPS |
|
|
Machine Translation (SP)
|
100% |
460
7.92 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.59 IPS |
|
|
Machine Translation (Q)
|
98% |
555
9.60 IPS |
