Mac Pro (Late 2019)
Geekbench AI Score
5376
Single Precision Score
5700
Half Precision Score
464
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | March 02 2025 03:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon Pro Vega II Duo |
| 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% |
3577
665.1 IPS |
|
|
Image Classification (HP)
|
100% |
3582
666.2 IPS |
|
|
Image Classification (Q)
|
96% |
89
16.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
478
7.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
475
7.70 IPS |
|
|
Image Segmentation (Q)
|
99% |
213
3.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
48373
56.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
44306
51.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
2949
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
3824
303.3 IPS |
|
|
Object Detection (HP)
|
100% |
3882
308.0 IPS |
|
|
Object Detection (Q)
|
92% |
81
6.44 IPS |
|
|
Face Detection (SP)
|
100% |
13327
158.4 IPS |
|
|
Face Detection (HP)
|
100% |
14139
168.0 IPS |
|
|
Face Detection (Q)
|
100% |
227
2.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
19299
148.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
20469
157.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
145.7 IPS |
|
|
Style Transfer (SP)
|
100% |
90359
116.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96143
123.6 IPS |
|
|
Style Transfer (Q)
|
96% |
121917
157.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6337
234.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11040
407.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10689
394.7 IPS |
|
|
Text Classification (SP)
|
100% |
423
564.9 IPS |
|
|
Text Classification (HP)
|
100% |
410
547.2 IPS |
|
|
Text Classification (Q)
|
93% |
365
490.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
966
16.7 IPS |
