MacPro7,1
Geekbench AI Score
11292
Single Precision Score
11191
Half Precision Score
868
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| Upload Date | September 18 2024 03:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon HD GFX10 Family Unknown Prototype |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | ASUSTeK COMPUTER INC. 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% |
7907
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
7785
1.45 KIPS |
|
|
Image Classification (Q)
|
96% |
227
42.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1043
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1030
16.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
431
6.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
95897
111.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
79686
93.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
4990
5.85 IPS |
|
|
Object Detection (SP)
|
100% |
7663
607.9 IPS |
|
|
Object Detection (HP)
|
100% |
7354
583.3 IPS |
|
|
Object Detection (Q)
|
92% |
201
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
27529
327.1 IPS |
|
|
Face Detection (HP)
|
100% |
30392
361.1 IPS |
|
|
Face Detection (Q)
|
100% |
420
4.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
37179
286.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34548
266.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
245.8 IPS |
|
|
Style Transfer (SP)
|
100% |
142597
183.3 IPS |
|
|
Style Transfer (HP)
|
100% |
140318
180.4 IPS |
|
|
Style Transfer (Q)
|
96% |
175826
226.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16959
626.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21207
783.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20673
763.3 IPS |
|
|
Text Classification (SP)
|
100% |
1023
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (Q)
|
93% |
755
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2197
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2149
37.1 IPS |
