Mac Pro (Late 2019)
Geekbench AI Score
4732
Single Precision Score
5237
Half Precision Score
409
Quantized Score
Geekbench AI 1.2.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | February 24 2025 03:56 PM |
| Views | 12 |
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-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% |
3231
600.8 IPS |
|
|
Image Classification (HP)
|
100% |
3307
615.0 IPS |
|
|
Image Classification (Q)
|
96% |
80
14.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
436
7.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (Q)
|
99% |
203
3.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
47849
55.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
43857
51.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
2627
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
3693
292.9 IPS |
|
|
Object Detection (HP)
|
100% |
3632
288.1 IPS |
|
|
Object Detection (Q)
|
92% |
64
5.12 IPS |
|
|
Face Detection (SP)
|
100% |
10692
127.0 IPS |
|
|
Face Detection (HP)
|
100% |
14462
171.8 IPS |
|
|
Face Detection (Q)
|
100% |
180
2.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
17642
135.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20123
155.0 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
142.3 IPS |
|
|
Style Transfer (SP)
|
100% |
89924
115.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96321
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
118326
152.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4674
172.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9741
359.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9656
356.6 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.4 IPS |
|
|
Text Classification (HP)
|
100% |
316
422.0 IPS |
|
|
Text Classification (Q)
|
93% |
300
402.0 IPS |
|
|
Machine Translation (SP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (Q)
|
98% |
782
13.5 IPS |
