MacBook Pro Retina 15" Apple Inc. MacBookPro10,1
Geekbench AI Score
21
Single Precision Score
20
Half Precision Score
15
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | enroscado |
| Upload Date | April 29 2025 06:25 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
12
2.19 IPS |
|
|
Image Classification (HP)
|
100% |
12
2.20 IPS |
|
|
Image Classification (Q)
|
97% |
9
1.75 IPS |
|
|
Image Segmentation (SP)
|
100% |
16
0.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
16
0.26 IPS |
|
|
Image Segmentation (Q)
|
98% |
13
0.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
18
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
19
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
15
0.02 IPS |
|
|
Object Detection (SP)
|
100% |
12
0.91 IPS |
|
|
Object Detection (HP)
|
100% |
11
0.89 IPS |
|
|
Object Detection (Q)
|
87% |
10
0.78 IPS |
|
|
Face Detection (SP)
|
100% |
38
0.45 IPS |
|
|
Face Detection (HP)
|
100% |
38
0.46 IPS |
|
|
Face Detection (Q)
|
97% |
30
0.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
31
0.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
28
0.22 IPS |
|
|
Depth Estimation (Q)
|
64% |
19
0.17 IPS |
|
|
Style Transfer (SP)
|
100% |
61
0.08 IPS |
|
|
Style Transfer (HP)
|
100% |
59
0.08 IPS |
|
|
Style Transfer (Q)
|
98% |
46
0.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13
0.46 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12
0.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10
0.36 IPS |
|
|
Text Classification (SP)
|
100% |
18
24.5 IPS |
|
|
Text Classification (HP)
|
100% |
17
22.9 IPS |
|
|
Text Classification (Q)
|
91% |
12
16.5 IPS |
|
|
Machine Translation (SP)
|
100% |
30
0.51 IPS |
|
|
Machine Translation (HP)
|
100% |
32
0.55 IPS |
|
|
Machine Translation (Q)
|
58% |
16
0.38 IPS |
