MacBook Pro Retina 15" Apple Inc. MacBookPro10,1
Geekbench AI Score
857
Single Precision Score
329
Half Precision Score
634
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | enroscado |
| Upload Date | April 29 2025 10:03 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-3740QM |
| 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% |
546
101.6 IPS |
|
|
Image Classification (HP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (Q)
|
97% |
380
70.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
145
2.34 IPS |
|
|
Image Segmentation (Q)
|
99% |
464
7.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
1186
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
841
0.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
772
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
529
41.9 IPS |
|
|
Object Detection (HP)
|
100% |
126
10.0 IPS |
|
|
Object Detection (Q)
|
86% |
381
30.6 IPS |
|
|
Face Detection (SP)
|
100% |
966
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
200
2.37 IPS |
|
|
Face Detection (Q)
|
97% |
1241
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1436
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
485
3.74 IPS |
|
|
Depth Estimation (Q)
|
78% |
948
7.54 IPS |
|
|
Style Transfer (SP)
|
100% |
2939
3.78 IPS |
|
|
Style Transfer (HP)
|
100% |
2465
3.17 IPS |
|
|
Style Transfer (Q)
|
98% |
2051
2.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
614
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
516
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
474
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
711
949.5 IPS |
|
|
Text Classification (HP)
|
100% |
293
391.7 IPS |
|
|
Text Classification (Q)
|
97% |
479
641.5 IPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
257
4.42 IPS |
|
|
Machine Translation (Q)
|
65% |
370
7.43 IPS |
