Mac Pro (Late 2019)
Geekbench AI Score
1015
Single Precision Score
741
Half Precision Score
469
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| User | richh- |
| Upload Date | June 26 2025 06:37 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Xeon W-3265M |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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% |
426
79.2 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.1 IPS |
|
|
Image Classification (Q)
|
96% |
148
27.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
592
9.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
410
6.64 IPS |
|
|
Image Segmentation (Q)
|
99% |
271
4.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
3118
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1623
1.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
1291
1.51 IPS |
|
|
Object Detection (SP)
|
100% |
463
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (Q)
|
92% |
189
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
1015
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
725
8.61 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1556
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1338
10.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
740
5.78 IPS |
|
|
Style Transfer (SP)
|
100% |
6003
7.72 IPS |
|
|
Style Transfer (HP)
|
100% |
5698
7.33 IPS |
|
|
Style Transfer (Q)
|
96% |
3444
4.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
397
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
643
857.8 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.8 IPS |
|
|
Text Classification (Q)
|
93% |
354
475.7 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.32 IPS |
|
|
Machine Translation (HP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (Q)
|
98% |
495
8.55 IPS |
