MacPro7,1
Geekbench AI Score
856
Single Precision Score
545
Half Precision Score
381
Quantized Score
Geekbench AI 1.7.0 for macOS AVX2
Result Information
| User | Zztony |
| Upload Date | April 05 2026 12:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Intel Core i7-7700 |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | MacPro7,1 |
| Model ID | MacPro7,1 |
| Motherboard | Acidanthera Mac-27AD2F918AE68F61 MacPro7,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Transfer Rate | 2933 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
340
63.3 IPS |
|
|
Image Classification (HP)
|
100% |
270
50.3 IPS |
|
|
Image Classification (Q)
|
96% |
155
29.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
329
5.34 IPS |
|
|
Image Segmentation (Q)
|
99% |
236
3.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
2269
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
617
0.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
554
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
350
27.7 IPS |
|
|
Object Detection (HP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (Q)
|
92% |
182
14.5 IPS |
|
|
Face Detection (SP)
|
100% |
903
10.7 IPS |
|
|
Face Detection (HP)
|
100% |
721
8.57 IPS |
|
|
Face Detection (Q)
|
100% |
304
3.62 IPS |
|
|
Depth Estimation (SP)
|
100% |
1047
8.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
867
6.68 IPS |
|
|
Depth Estimation (Q)
|
85% |
579
4.53 IPS |
|
|
Style Transfer (SP)
|
100% |
3090
3.97 IPS |
|
|
Style Transfer (HP)
|
100% |
2143
2.76 IPS |
|
|
Style Transfer (Q)
|
96% |
1743
2.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1219
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
304
11.2 IPS |
|
|
Text Classification (SP)
|
99% |
999
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
540
720.3 IPS |
|
|
Text Classification (Q)
|
93% |
439
589.3 IPS |
|
|
Machine Translation (SP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (HP)
|
100% |
434
7.47 IPS |
|
|
Machine Translation (Q)
|
98% |
433
7.49 IPS |
