MacPro7,1
Geekbench AI Score
5808
Single Precision Score
6046
Half Precision Score
546
Quantized Score
Geekbench AI 1.6.0 for macOS AVX2
Result Information
| Upload Date | January 13 2026 04:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX 6600 |
| System Information | |
|---|---|
| Operating System | macOS 14.8.3 (Build 23J220) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | JINGSHA Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.31 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Transfer Rate | 2133 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4938
918.4 IPS |
|
|
Image Classification (HP)
|
100% |
5009
931.6 IPS |
|
|
Image Classification (Q)
|
96% |
161
30.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
492
7.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
483
7.83 IPS |
|
|
Image Segmentation (Q)
|
99% |
254
4.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
38470
44.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
36193
42.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
3044
3.57 IPS |
|
|
Object Detection (SP)
|
100% |
4547
360.6 IPS |
|
|
Object Detection (HP)
|
100% |
4790
379.9 IPS |
|
|
Object Detection (Q)
|
92% |
183
14.6 IPS |
|
|
Face Detection (SP)
|
100% |
15046
178.8 IPS |
|
|
Face Detection (HP)
|
100% |
16120
191.5 IPS |
|
|
Face Detection (Q)
|
100% |
264
3.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
23347
179.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22721
175.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
166.7 IPS |
|
|
Style Transfer (SP)
|
100% |
63169
81.2 IPS |
|
|
Style Transfer (HP)
|
100% |
61197
78.7 IPS |
|
|
Style Transfer (Q)
|
96% |
73879
95.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9158
338.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12694
468.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12309
454.5 IPS |
|
|
Text Classification (SP)
|
100% |
460
614.1 IPS |
|
|
Text Classification (HP)
|
100% |
486
648.4 IPS |
|
|
Text Classification (Q)
|
93% |
384
514.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1124
19.4 IPS |
