Apple Inc. MacPro7,1
Geekbench AI Score
7302
Single Precision Score
7553
Half Precision Score
13242
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ronseamon |
| Upload Date | December 06 2024 03:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) W-3265M CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Apple Inc. MacPro7,1 |
| Motherboard | Apple Inc. Mac-27AD2F918AE68F61 |
| Power Plan | High performance |
| 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 | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4129
767.9 IPS |
|
|
Image Classification (HP)
|
100% |
4359
810.6 IPS |
|
|
Image Classification (Q)
|
100% |
6609
1.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6590
106.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6574
106.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10680
173.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13077
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
13106
15.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
54836
64.2 IPS |
|
|
Object Detection (SP)
|
100% |
4181
331.6 IPS |
|
|
Object Detection (HP)
|
100% |
4199
333.1 IPS |
|
|
Object Detection (Q)
|
88% |
8471
679.1 IPS |
|
|
Face Detection (SP)
|
100% |
14032
166.7 IPS |
|
|
Face Detection (HP)
|
100% |
14577
173.2 IPS |
|
|
Face Detection (Q)
|
100% |
22859
271.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12743
98.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12820
98.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
26372
205.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35410
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39901
51.3 IPS |
|
|
Style Transfer (Q)
|
98% |
116990
150.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7362
271.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7740
285.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15518
574.7 IPS |
|
|
Text Classification (SP)
|
100% |
2197
2.93 KIPS |
|
|
Text Classification (HP)
|
100% |
2326
3.10 KIPS |
|
|
Text Classification (Q)
|
92% |
1601
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2830
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2887
49.7 IPS |
