Apple Inc. MacBookPro14,1 (root) Apple Inc. MacBookPro14,1
Geekbench AI Score
1095
Single Precision Score
421
Half Precision Score
1504
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | Andy205 |
| Upload Date | October 27 2025 10:15 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7360U |
| 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% |
633
117.8 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.3 IPS |
|
|
Image Classification (Q)
|
94% |
1081
202.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
207
3.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
878
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1480
1.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1084
1.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
2432
2.88 IPS |
|
|
Object Detection (SP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
58% |
768
84.0 IPS |
|
|
Face Detection (SP)
|
100% |
1369
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
275
3.26 IPS |
|
|
Face Detection (Q)
|
96% |
2613
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1799
13.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
614
4.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
2522
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3768
4.84 IPS |
|
|
Style Transfer (HP)
|
100% |
2837
3.65 IPS |
|
|
Style Transfer (Q)
|
87% |
4836
6.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
794
29.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
646
23.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1101
40.8 IPS |
|
|
Text Classification (SP)
|
100% |
855
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
358
477.7 IPS |
|
|
Text Classification (Q)
|
97% |
785
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (Q)
|
68% |
1220
23.6 IPS |
