Apple Inc. MacBookPro14,1 (root) Apple Inc. MacBookPro14,1
Geekbench AI Score
1343
Single Precision Score
1326
Half Precision Score
1772
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Andy205 |
| Upload Date | October 27 2025 10:24 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7360U CPU @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | Apple Inc. MacBookPro14,1 |
| Motherboard | Apple Inc. Mac-B4831CEBD52A0C4C |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7360U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
761
141.5 IPS |
|
|
Image Classification (HP)
|
100% |
759
141.1 IPS |
|
|
Image Classification (Q)
|
100% |
1144
212.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
887
14.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1220
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1441
1.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1276
1.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
2596
3.05 IPS |
|
|
Object Detection (SP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (HP)
|
100% |
757
60.1 IPS |
|
|
Object Detection (Q)
|
87% |
1178
94.5 IPS |
|
|
Face Detection (SP)
|
100% |
2170
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2170
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
3019
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1945
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1945
15.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
3077
24.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4200
5.40 IPS |
|
|
Style Transfer (HP)
|
100% |
4197
5.40 IPS |
|
|
Style Transfer (Q)
|
98% |
7298
9.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
910
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1552
57.5 IPS |
|
|
Text Classification (SP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (Q)
|
91% |
421
566.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1631
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1630
28.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1615
27.8 IPS |
