MacPro7,1
Geekbench AI Score
11129
Single Precision Score
11161
Half Precision Score
2514
Quantized Score
Geekbench AI 1.3.0 for macOS AVX2
Result Information
| Upload Date | April 21 2025 08:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon HD GFX10 Family Unknown Prototype |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700K |
| Topology | 1 Processor, 8 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Transfer Rate | 5400 MT/s |
| Type | RAM |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7773
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7693
1.43 KIPS |
|
|
Image Classification (Q)
|
96% |
226
42.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
398
6.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
96517
112.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
81240
94.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
4972
5.83 IPS |
|
|
Object Detection (SP)
|
100% |
7472
592.7 IPS |
|
|
Object Detection (HP)
|
100% |
7015
556.4 IPS |
|
|
Object Detection (Q)
|
92% |
247
19.7 IPS |
|
|
Face Detection (SP)
|
100% |
27993
332.6 IPS |
|
|
Face Detection (HP)
|
100% |
30794
365.9 IPS |
|
|
Face Detection (Q)
|
100% |
424
5.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
32340
249.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33618
259.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
32543
254.3 IPS |
|
|
Style Transfer (SP)
|
100% |
159010
204.4 IPS |
|
|
Style Transfer (HP)
|
100% |
142406
183.1 IPS |
|
|
Style Transfer (Q)
|
96% |
166291
214.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16443
607.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21875
807.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19832
732.3 IPS |
|
|
Text Classification (SP)
|
100% |
1024
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
961
1.28 KIPS |
|
|
Text Classification (Q)
|
93% |
890
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2257
39.0 IPS |
