MacBook Pro Retina 15" Apple Inc. MacBookPro10,1
Geekbench AI Score
743
Single Precision Score
752
Half Precision Score
1111
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | enroscado |
| Upload Date | April 29 2025 10:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-3740QM CPU @ 2.70GHz |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Apple Inc. MacBookPro10,1 |
| Motherboard | Apple Inc. Mac-C3EC7CD22292981F |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3740QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
419
78.0 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
100% |
757
140.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
597
9.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
601
9.75 IPS |
|
|
Image Segmentation (Q)
|
99% |
892
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
580
0.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
587
0.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
1428
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
388
30.8 IPS |
|
|
Object Detection (Q)
|
87% |
736
59.0 IPS |
|
|
Face Detection (SP)
|
100% |
1301
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
2101
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1238
9.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
1250
9.63 IPS |
|
|
Depth Estimation (Q)
|
81% |
1857
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2018
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2023
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4425
5.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
566
20.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
898
33.3 IPS |
|
|
Text Classification (SP)
|
100% |
666
889.1 IPS |
|
|
Text Classification (HP)
|
100% |
719
960.2 IPS |
|
|
Text Classification (Q)
|
91% |
368
494.8 IPS |
|
|
Machine Translation (SP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
100% |
714
12.3 IPS |
