Apple Inc. MacBookPro10,1
Geekbench AI Score
19
Single Precision Score
18
Half Precision Score
13
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | February 23 2025 08:07 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-3720QM |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | Apple Inc. MacBookPro10,1 |
| Motherboard | Apple Inc. Mac-C3EC7CD22292981F |
| CPU Information | |
|---|---|
| Name | Intel Core i7-3720QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13
2.49 IPS |
|
|
Image Classification (HP)
|
100% |
10
1.88 IPS |
|
|
Image Classification (Q)
|
97% |
8
1.52 IPS |
|
|
Image Segmentation (SP)
|
100% |
14
0.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
14
0.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
11
0.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
15
0.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
15
0.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
12
0.01 IPS |
|
|
Object Detection (SP)
|
100% |
12
0.95 IPS |
|
|
Object Detection (HP)
|
100% |
10
0.80 IPS |
|
|
Object Detection (Q)
|
87% |
8
0.63 IPS |
|
|
Face Detection (SP)
|
100% |
45
0.53 IPS |
|
|
Face Detection (HP)
|
100% |
44
0.52 IPS |
|
|
Face Detection (Q)
|
97% |
33
0.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
23
0.18 IPS |
|
|
Depth Estimation (HP)
|
99% |
24
0.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
15
0.14 IPS |
|
|
Style Transfer (SP)
|
100% |
46
0.06 IPS |
|
|
Style Transfer (HP)
|
100% |
47
0.06 IPS |
|
|
Style Transfer (Q)
|
98% |
37
0.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11
0.40 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11
0.39 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
8
0.31 IPS |
|
|
Text Classification (SP)
|
100% |
19
25.5 IPS |
|
|
Text Classification (HP)
|
100% |
19
25.2 IPS |
|
|
Text Classification (Q)
|
91% |
14
18.9 IPS |
|
|
Machine Translation (SP)
|
100% |
26
0.46 IPS |
|
|
Machine Translation (HP)
|
100% |
27
0.47 IPS |
|
|
Machine Translation (Q)
|
58% |
14
0.33 IPS |
